Published on 12.08.11 in Vol 13, No 3 (2011): Jul-Sep
Works citing "Harnessing Context Sensing to Develop a Mobile Intervention for Depression"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1838):
(note that this is only a small subset of citations)
-
Braz VN, Lopes MHBDM. Evaluation of mobile applications related to nutrition. Public Health Nutrition 2018;:1
CrossRef -
Castro LA, Favela J, Quintana E, Perez M. Behavioral data gathering for assessing functional status and health in older adults using mobile phones. Personal and Ubiquitous Computing 2015;19(2):379
CrossRef -
Schueller SM, Aguilera A, Mohr DC. Ecological momentary interventions for depression and anxiety. Depression and Anxiety 2017;34(6):540
CrossRef -
Dallery J, Kurti A, Erb P. A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior. The Behavior Analyst 2015;38(1):19
CrossRef -
Doryab A, Frost M, Faurholt-Jepsen M, Kessing LV, Bardram JE. Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome. Personal and Ubiquitous Computing 2015;19(2):355
CrossRef -
Faurholt-Jepsen M, Busk J, Þórarinsdóttir H, Frost M, Bardram JE, Vinberg M, Kessing LV. Objective smartphone data as a potential diagnostic marker of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2019;53(2):119
CrossRef -
Ebenfeld L, Kleine Stegemann S, Lehr D, Ebert DD, Funk B, Riper H, Berking M. A mobile application for panic disorder and agoraphobia: Insights from a multi-methods feasibility study. Internet Interventions 2020;19:100296
CrossRef -
Kanjo E, Al-Husain L, Chamberlain A. Emotions in context: examining pervasive affective sensing systems, applications, and analyses. Personal and Ubiquitous Computing 2015;19(7):1197
CrossRef -
Wenze SJ, Armey MF, Miller IW. Feasibility and Acceptability of a Mobile Intervention to Improve Treatment Adherence in Bipolar Disorder. Behavior Modification 2014;38(4):497
CrossRef -
Aafjes-van Doorn K, Kamsteeg C, Bate J, Aafjes M. A scoping review of machine learning in psychotherapy research. Psychotherapy Research 2021;31(1):92
CrossRef -
Faherty LJ, Hantsoo L, Appleby D, Sammel MD, Bennett IM, Wiebe DJ. Movement patterns in women at risk for perinatal depression: use of a
mood-monitoring mobile application in pregnancy. Journal of the American Medical Informatics Association 2017;24(4):746
CrossRef -
Jacobson NC, Chung YJ. Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones. Sensors 2020;20(12):3572
CrossRef -
Reger GM, Skopp NA, Edwards-Stewart A, Lemus EL. Comparison of Prolonged Exposure (PE) Coach to Treatment as Usual: A Case Series With Two Active Duty Soldiers. Military Psychology 2015;27(5):287
CrossRef -
Yin K, Laranjo L, Tong HL, Lau AY, Kocaballi AB, Martin P, Vagholkar S, Coiera E. Context-Aware Systems for Chronic Disease Patients: Scoping Review. Journal of Medical Internet Research 2019;21(6):e10896
CrossRef -
Granholm E, Holden JL, Dwyer K, Link P. Mobile-assisted cognitive-behavioral social skills training in older adults with schizophrenia. Journal of Behavioral and Cognitive Therapy 2020;30(1):13
CrossRef -
Jashinsky J, Burton SH, Hanson CL, West J, Giraud-Carrier C, Barnes MD, Argyle T. Tracking Suicide Risk Factors Through Twitter in the US. Crisis 2014;35(1):51
CrossRef -
Giosan C, Cobeanu O, Mogoaşe C, Szentágotai Tătar A, Mureşan V, Boian R. Using a smartphone app to reduce cognitive vulnerability and mild depressive symptoms: Study protocol of an exploratory randomized controlled trial. Trials 2016;17(1)
CrossRef -
Payne HE, Lister C, West JH, Bernhardt JM. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20
CrossRef -
Briffault X, Morgiève M, Courtet P. From e-Health to i-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care. Brain Sciences 2018;8(6):98
CrossRef -
Triantafyllidis AK, Tsanas A. Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature. Journal of Medical Internet Research 2019;21(4):e12286
CrossRef -
Webb CA, Rosso IM, Rauch SL. Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions. Harvard Review of Psychiatry 2017;25(3):114
CrossRef -
Saeb S, Zhang M, Karr CJ, Schueller SM, Corden ME, Kording KP, Mohr DC. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. Journal of Medical Internet Research 2015;17(7):e175
CrossRef -
Pinder C, Vermeulen J, Cowan BR, Beale R. Digital Behaviour Change Interventions to Break and Form Habits. ACM Transactions on Computer-Human Interaction 2018;25(3):1
CrossRef -
Kennedy CM, Powell J, Payne TH, Ainsworth J, Boyd A, Buchan I. Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review. Journal of Medical Internet Research 2012;14(3):e80
CrossRef -
Hoff KA, Bashir M. Trust in Automation. Human Factors: The Journal of the Human Factors and Ergonomics Society 2015;57(3):407
CrossRef -
López-Montoyo A, Modrego-Alarcón M, Morillo H, García-Campayo J, Quero S. Programas de ordenador basados en mindfulness . Una revisión de la literatura médica. Mindfulness & Compassion 2016;1(1):23
CrossRef -
Msetfi R, O'Sullivan D, Walsh A, Nelson J, Van de Ven P. Using Mobile Phones to Examine and Enhance Perceptions of Control in Mildly Depressed and Nondepressed Volunteers: Intervention Study. JMIR mHealth and uHealth 2018;6(11):e10114
CrossRef -
Donker T, Petrie K, Proudfoot J, Clarke J, Birch M, Christensen H. Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review. Journal of Medical Internet Research 2013;15(11):e247
CrossRef -
Schueller SM, Adkins EC. Mobile Health Technologies to Deliver and Support Cognitive-Behavioral Therapy. Psychiatric Annals 2019;49(8):348
CrossRef -
Torous J, Friedman R, Keshavan M. Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions. JMIR mHealth and uHealth 2014;2(1):e2
CrossRef -
Callan JA, Wright J, Siegle GJ, Howland RH, Kepler BB. Use of Computer and Mobile Technologies in the Treatment of Depression. Archives of Psychiatric Nursing 2017;31(3):311
CrossRef -
Pratap A, Atkins DC, Renn BN, Tanana MJ, Mooney SD, Anguera JA, Areán PA. The accuracy of passive phone sensors in predicting daily mood. Depression and Anxiety 2019;36(1):72
CrossRef -
Boonstra TW, Nicholas J, Wong QJ, Shaw F, Townsend S, Christensen H. Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions. Journal of Medical Internet Research 2018;20(7):e10131
CrossRef -
Castro A, García-Palacios A, García-Campayo J, Mayoral F, Botella C, García-Herrera JM, Pérez-Yus M, Vives M, Baños RM, Roca M, Gili M. Efficacy of low-intensity psychological intervention applied by ICTs for the treatment of depression in primary care: a controlled trial. BMC Psychiatry 2015;15(1)
CrossRef -
Vilardaga R, B. Bricker J, G. McDonell M. The promise of mobile technologies and single case designs for the study of individuals in their natural environment. Journal of Contextual Behavioral Science 2014;3(2):148
CrossRef -
McClernon FJ, Roy Choudhury R. I Am Your Smartphone, and I Know You Are About to Smoke: The Application of Mobile Sensing and Computing Approaches to Smoking Research and Treatment. Nicotine & Tobacco Research 2013;15(10):1651
CrossRef -
Torous J, Staples P, Shanahan M, Lin C, Peck P, Keshavan M, Onnela J. Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder. JMIR Mental Health 2015;2(1):e8
CrossRef -
Fox E, Beevers CG. Differential sensitivity to the environment: contribution of cognitive biases and genes to psychological wellbeing. Molecular Psychiatry 2016;21(12):1657
CrossRef -
Narziev N, Goh H, Toshnazarov K, Lee SA, Chung K, Noh Y. STDD: Short-Term Depression Detection with Passive Sensing. Sensors 2020;20(5):1396
CrossRef -
DURDU AKGÜN B, AKTAÇ A, YORULMAZ O. Ruh Sağlığında Mobil Uygulamalar: Etkinliğe Yönelik Sistematik Bir Gözden Geçirme. Psikiyatride Güncel Yaklaşımlar 2019;11(4):519
CrossRef -
Colombo D, Fernández-Álvarez J, Patané A, Semonella M, Kwiatkowska M, García-Palacios A, Cipresso P, Riva G, Botella C. Current State and Future Directions of Technology-Based Ecological Momentary Assessment and Intervention for Major Depressive Disorder: A Systematic Review. Journal of Clinical Medicine 2019;8(4):465
CrossRef -
Gravenhorst F, Muaremi A, Bardram J, Grünerbl A, Mayora O, Wurzer G, Frost M, Osmani V, Arnrich B, Lukowicz P, Tröster G. Mobile phones as medical devices in mental disorder treatment: an overview. Personal and Ubiquitous Computing 2015;19(2):335
CrossRef -
Myin‐Germeys I, Kasanova Z, Vaessen T, Vachon H, Kirtley O, Viechtbauer W, Reininghaus U. Experience sampling methodology in mental health research: new insights and technical developments. World Psychiatry 2018;17(2):123
CrossRef -
Torous J, Powell AC. Current research and trends in the use of smartphone applications for mood disorders. Internet Interventions 2015;2(2):169
CrossRef -
Mohr DC, Zhang M, Schueller SM. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. Annual Review of Clinical Psychology 2017;13(1):23
CrossRef -
. Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor Analytics. Journal of Psychiatry and Brain Science 2020;
CrossRef -
DuPaul GJ, Kern L, Belk G, Custer B, Daffner M, Hatfield A, Peek D. Face-to-Face Versus Online Behavioral Parent Training for Young Children at Risk for ADHD: Treatment Engagement and Outcomes. Journal of Clinical Child & Adolescent Psychology 2018;47(sup1):S369
CrossRef -
Epstein DH, Tyburski M, Kowalczyk WJ, Burgess-Hull AJ, Phillips KA, Curtis BL, Preston KL. Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data. npj Digital Medicine 2020;3(1)
CrossRef -
Darcy AM, Adler S, Miner A, Lock J. How smartphone applications may be implemented in the treatment of eating disorders: case reports and case series data. Advances in Eating Disorders 2014;2(3):217
CrossRef -
Choi D, Shah C, Singh V. Which team benefits from collaboration?: Investigating collaborative information seeking using personal and social contextual signals. Proceedings of the Association for Information Science and Technology 2016;53(1):1
CrossRef -
Brian RM, Ben-Zeev D. Mobile health (mHealth) for mental health in Asia: Objectives, strategies, and limitations. Asian Journal of Psychiatry 2014;10:96
CrossRef -
Farrington C, Aristidou A, Ruggeri K. mHealth and global mental health: still waiting for the mH2 wedding?. Globalization and Health 2014;10(1):17
CrossRef -
. The Application of Intensive Longitudinal Methods to Investigate Change: Stimulating the Field of Applied Family Research. Clinical Child and Family Psychology Review 2016;19(1):21
CrossRef -
Depp CA, Ceglowski J, Wang VC, Yaghouti F, Mausbach BT, Thompson WK, Granholm EL. Augmenting psychoeducation with a mobile intervention for bipolar disorder: A randomized controlled trial. Journal of Affective Disorders 2015;174:23
CrossRef -
Torous J, Staples P, Onnela J. Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry. Current Psychiatry Reports 2015;17(8)
CrossRef -
Bardram JE, Frost M. The Personal Health Technology Design Space. IEEE Pervasive Computing 2016;15(2):70
CrossRef -
Zakaria C, Balan R, Lee Y. StressMon. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
CrossRef -
Ashford RD, Lynch K, Curtis B. Technology and Social Media Use Among Patients Enrolled in Outpatient Addiction Treatment Programs: Cross-Sectional Survey Study. Journal of Medical Internet Research 2018;20(3):e84
CrossRef -
Huckins JF, daSilva AW, Wang R, Wang W, Hedlund EL, Murphy EI, Lopez RB, Rogers C, Holtzheimer PE, Kelley WM, Heatherton TF, Wagner DD, Haxby JV, Campbell AT. Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students. Frontiers in Neuroscience 2019;13
CrossRef -
W. Adams Z, McClure EA, Gray KM, Danielson CK, Treiber FA, Ruggiero KJ. Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research. Journal of Psychiatric Research 2017;85:1
CrossRef -
Rausch J, Hametz P, Zuckerbrot R, Rausch W, Soren K. Screening for Depression in Urban Latino Adolescents. Clinical Pediatrics 2012;51(10):964
CrossRef -
Mak WW, Chio FH, Chan AT, Lui WW, Wu EK. The Efficacy of Internet-Based Mindfulness Training and Cognitive-Behavioral Training With Telephone Support in the Enhancement of Mental Health Among College Students and Young Working Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2017;19(3):e84
CrossRef -
Pennou A, Lecomte T, Potvin S, Khazaal Y. Mobile Intervention for Individuals With Psychosis, Dual Disorders, and Their Common Comorbidities: A Literature Review. Frontiers in Psychiatry 2019;10
CrossRef -
Lee J, Dallery J, Laracuente A, Ibe I, Joseph S, Huo J, Salloum RG. A content analysis of free smoking cessation mobile applications in the USA. Journal of Smoking Cessation 2019;14(4):195
CrossRef -
Cai L, Boukhechba M, Gerber MS, Barnes LE, Showalter SL, Cohn WF, Chow PI. An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients. Smart Health 2020;15:100086
CrossRef -
Peng Z, Hu Q, Dang J. Multi-kernel SVM based depression recognition using social media data. International Journal of Machine Learning and Cybernetics 2019;10(1):43
CrossRef -
Solvoll T, Scholl J, Hartvigsen G. Physicians Interrupted by Mobile Devices in Hospitals: Understanding the Interaction Between Devices, Roles, and Duties. Journal of Medical Internet Research 2013;15(3):e56
CrossRef -
Faurholt-Jepsen M, Frost M, Martiny K, Tuxen N, Rosenberg N, Busk J, Winther O, Bardram JE, Kessing LV. Reducing the rate and duration of Re-ADMISsions among patients with unipolar disorder and bipolar disorder using smartphone-based monitoring and treatment – the RADMIS trials: study protocol for two randomized controlled trials. Trials 2017;18(1)
CrossRef -
Shatte ABR, Hutchinson DM, Teague SJ. Machine learning in mental health: a scoping review of methods and applications. Psychological Medicine 2019;49(09):1426
CrossRef -
Reinertsen E, Nemati S, Vest AN, Vaccarino V, Lampert R, Shah AJ, Clifford GD. Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures. Physiological Measurement 2017;38(6):1061
CrossRef -
van de Ven P, O’Brien H, Henriques R, Klein M, Msetfi R, Nelson J, Rocha A, Ruwaard J, O’Sullivan D, Riper H. ULTEMAT: A mobile framework for smart ecological momentary assessments and interventions. Internet Interventions 2017;9:74
CrossRef -
Ragsdale A, Rotheram-Borus MJ. Re-shaping HIV Interventions with Technology. AIDS and Behavior 2015;19(S2):77
CrossRef -
Dogan E, Sander C, Wagner X, Hegerl U, Kohls E. Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review. Journal of Medical Internet Research 2017;19(7):e262
CrossRef -
Berrocal A, Concepcion W, De Dominicis S, Wac K. Complementing Human Behavior Assessment by Leveraging Personal Ubiquitous Devices and Social Links: An Evaluation of the Peer-Ceived Momentary Assessment Method. JMIR mHealth and uHealth 2020;8(8):e15947
CrossRef -
Gandy M, Fogliati V, Terides M, Johnston L, Nicholson Perry K, Newall C, Titov N, Dear B. Short message service prompts for skills practice in Internet‐delivered cognitive behaviour therapy for chronic pain – are they feasible and effective?. European Journal of Pain 2016;20(8):1288
CrossRef -
Wahle F, Kowatsch T, Fleisch E, Rufer M, Weidt S. Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild. JMIR mHealth and uHealth 2016;4(3):e111
CrossRef -
Bardram JE, Matic A. A Decade of Ubiquitous Computing Research in Mental Health. IEEE Pervasive Computing 2020;19(1):62
CrossRef -
Shen Y, Luo C, Yin D, Wen H, Daniela R, Hu W. Privacy-preserving sparse representation classification in cloud-enabled mobile applications. Computer Networks 2018;133:59
CrossRef -
Hilliard ME, Hahn A, Ridge AK, Eakin MN, Riekert KA. User Preferences and Design Recommendations for an mHealth App to Promote Cystic Fibrosis Self-Management. JMIR mHealth and uHealth 2014;2(4):e44
CrossRef -
Di Matteo D, Fotinos K, Lokuge S, Yu J, Sternat T, Katzman MA, Rose J. The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study. JMIR Formative Research 2020;4(8):e18751
CrossRef -
Hung GC, Yang P, Chang C, Chiang J, Chen Y. Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study. JMIR Research Protocols 2016;5(3):e160
CrossRef -
McKay JR, Gustafson DH, Ivey M, McTavish F, Pe-Romashko K, Curtis B, Oslin DA, Polsky D, Quanbeck A, Lynch KG. Effects of automated smartphone mobile recovery support and telephone continuing care in the treatment of alcohol use disorder: study protocol for a randomized controlled trial. Trials 2018;19(1)
CrossRef -
Xu X, Chikersal P, Doryab A, Villalba DK, Dutcher JM, Tumminia MJ, Althoff T, Cohen S, Creswell KG, Creswell JD, Mankoff J, Dey AK. Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(3):1
CrossRef -
Lokman S, Leone SS, Sommers-Spijkerman M, van der Poel A, Smit F, Boon B. Complaint-Directed Mini-Interventions for Depressive Complaints: A Randomized Controlled Trial of Unguided Web-Based Self-Help Interventions. Journal of Medical Internet Research 2017;19(1):e4
CrossRef -
Yim SJ, Lui LM, Lee Y, Rosenblat JD, Ragguett R, Park C, Subramaniapillai M, Cao B, Zhou A, Rong C, Lin K, Ho RC, Coles AS, Majeed A, Wong ER, Phan L, Nasri F, McIntyre RS. The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders 2020;274:602
CrossRef -
Hirano M, Ogura K, Kitahara M, Sakamoto D, Shimoyama H. Designing behavioral self-regulation application for preventive personal mental healthcare. Health Psychology Open 2017;4(1):205510291770718
CrossRef -
Stiles-Shields C, Montague E, Lattie EG, Kwasny MJ, Mohr DC. What might get in the way: Barriers to the use of apps for depression. DIGITAL HEALTH 2017;3:205520761771382
CrossRef -
Fulford H, McSwiggan L, Kroll T, MacGillivray S. Exploring the Use of Information and Communication Technology by People With Mood Disorder: A Systematic Review and Metasynthesis. JMIR Mental Health 2016;3(3):e30
CrossRef -
Wicaksono A, Hendley R, Beale R. Investigating the Impact of Adding Plan Reminders on Implementation Intentions to Support Behaviour Change. Interacting with Computers 2019;31(2):177
CrossRef -
Depp CA, Kim DH, Vergel de Dios L, Wang V, Ceglowski J. A Pilot Study of Mood Ratings Captured by Mobile Phone Versus Paper-and-Pencil Mood Charts in Bipolar Disorder. Journal of Dual Diagnosis 2012;8(4):326
CrossRef -
Dicianno BE, Parmanto B, Fairman AD, Crytzer TM, Yu DX, Pramana G, Coughenour D, Petrazzi AA. Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation. Physical Therapy 2015;95(3):397
CrossRef -
. Third Age and Mobile Health. International Journal of Reliable and Quality E-Healthcare 2019;8(4):67
CrossRef -
Dick S, O’Connor Y, Heavin C. Approaches to Mobile Health Evaluation: A Comparative Study. Information Systems Management 2020;37(1):75
CrossRef -
Ly KH, Janni E, Wrede R, Sedem M, Donker T, Carlbring P, Andersson G. Experiences of a guided smartphone-based behavioral activation therapy for depression: A qualitative study. Internet Interventions 2015;2(1):60
CrossRef -
Juarascio AS, Manasse SM, Goldstein SP, Forman EM, Butryn ML. Review of Smartphone Applications for the Treatment of Eating Disorders. European Eating Disorders Review 2015;23(1):1
CrossRef -
Castro A, López-del-Hoyo Y, Peake C, Mayoral F, Botella C, García-Campayo J, Baños RM, Nogueira-Arjona R, Roca M, Gili M. Adherence predictors in an Internet-based Intervention program for depression. Cognitive Behaviour Therapy 2018;47(3):246
CrossRef -
Qu C, Sas C, Daudén Roquet C, Doherty G. Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation. JMIR Mental Health 2020;7(1):e15321
CrossRef -
Ahtinen A, Mattila E, Välkkynen P, Kaipainen K, Vanhala T, Ermes M, Sairanen E, Myllymäki T, Lappalainen R. Mobile Mental Wellness Training for Stress Management: Feasibility and Design Implications Based on a One-Month Field Study. JMIR mhealth and uhealth 2013;1(2):e11
CrossRef -
Boukhechba M, Daros AR, Fua K, Chow PI, Teachman BA, Barnes LE. DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones. Smart Health 2018;9-10:192
CrossRef -
Burford SJ, Park S, Dawda P. Small Data and Its Visualization for Diabetes Self-Management: Qualitative Study. JMIR Diabetes 2019;4(3):e10324
CrossRef -
Ramanathan N, Swendeman D, Comulada WS, Estrin D, Rotheram-Borus MJ. Identifying preferences for mobile health applications for self-monitoring and self-management: Focus group findings from HIV-positive persons and young mothers. International Journal of Medical Informatics 2013;82(4):e38
CrossRef -
Enam A, Torres-Bonilla J, Eriksson H. Evidence-Based Evaluation of eHealth Interventions: Systematic Literature Review. Journal of Medical Internet Research 2018;20(11):e10971
CrossRef -
Oliver N, Matic A, Frias-Martinez E. Mobile Network Data for Public Health: Opportunities and Challenges. Frontiers in Public Health 2015;3
CrossRef -
Angdembe M, Kohrt BA, Jordans M, Rimal D, Luitel NP. Situational analysis to inform development of primary care and community-based mental health services for severe mental disorders in Nepal. International Journal of Mental Health Systems 2017;11(1)
CrossRef -
Kirchner TR, Shiffman S. Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA). Social Psychiatry and Psychiatric Epidemiology 2016;51(9):1211
CrossRef -
Otte C, Gold SM, Penninx BW, Pariante CM, Etkin A, Fava M, Mohr DC, Schatzberg AF. Major depressive disorder. Nature Reviews Disease Primers 2016;2(1)
CrossRef -
Giota KG, Kleftaras G. Mental Health Apps: Innovations, Risks and Ethical Considerations. E-Health Telecommunication Systems and Networks 2014;03(03):19
CrossRef -
Reinertsen E, Clifford GD. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiological Measurement 2018;39(5):05TR01
CrossRef -
Grunerbl A, Muaremi A, Osmani V, Bahle G, Ohler S, Troster G, Mayora O, Haring C, Lukowicz P. Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients. IEEE Journal of Biomedical and Health Informatics 2015;19(1):140
CrossRef -
Simões de Almeida R, Sousa T, Marques A, Queirós C. Patients’ perspectives about the design of a mobile application for psychotic disorders. Psychology, Community & Health 2018;7(1):16
CrossRef -
Cheng X, Fang L, Hong X, Yang L. Exploiting Mobile Big Data: Sources, Features, and Applications. IEEE Network 2017;31(1):72
CrossRef -
Becker D, van Breda W, Funk B, Hoogendoorn M, Ruwaard J, Riper H. Predictive modeling in e-mental health: A common language framework. Internet Interventions 2018;12:57
CrossRef -
Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165
CrossRef -
Ghandeharioun A, Azaria A, Taylor S, Picard RW. “Kind and Grateful”: A Context-Sensitive Smartphone App Utilizing Inspirational Content to Promote Gratitude. Psychology of Well-Being 2016;6(1)
CrossRef -
Bastiaansen JA, Kunkels YK, Blaauw FJ, Boker SM, Ceulemans E, Chen M, Chow S, de Jonge P, Emerencia AC, Epskamp S, Fisher AJ, Hamaker EL, Kuppens P, Lutz W, Meyer MJ, Moulder R, Oravecz Z, Riese H, Rubel J, Ryan O, Servaas MN, Sjobeck G, Snippe E, Trull TJ, Tschacher W, van der Veen DC, Wichers M, Wood PK, Woods WC, Wright AG, Albers CJ, Bringmann LF. Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology. Journal of Psychosomatic Research 2020;137:110211
CrossRef -
Politou E, Alepis E, Patsakis C. A survey on mobile affective computing. Computer Science Review 2017;25:79
CrossRef -
Bailon C, Damas M, Pomares H, Sanabria D, Perakakis P, Goicoechea C, Banos O. Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods. Sensors 2019;19(15):3430
CrossRef -
Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120
CrossRef -
Mendez DD, Sanders SA, Karimi HA, Gharani P, Rathbun SL, Gary-Webb TL, Wallace ML, Gianakas JJ, Burke LE, Davis EM. Understanding Pregnancy and Postpartum Health Using Ecological Momentary Assessment and Mobile Technology: Protocol for the Postpartum Mothers Mobile Study. JMIR Research Protocols 2019;8(6):e13569
CrossRef -
Hebden L, Cook A, van der Ploeg HP, Allman-Farinelli M. Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change. JMIR Research Protocols 2012;1(2):e9
CrossRef -
Crookston BT, West JH, Hall PC, Dahle KM, Heaton TL, Beck RN, Muralidharan C. Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors. JMIR Mental Health 2017;4(4):e45
CrossRef -
Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth Research: A Decade of Evolution. Journal of Medical Internet Research 2013;15(5):e95
CrossRef -
Karcher NR, Presser NR. Ethical and Legal Issues Addressing the Use of Mobile Health (mHealth) as an Adjunct to Psychotherapy. Ethics & Behavior 2018;28(1):1
CrossRef -
Majumder S, Deen MJ. Smartphone Sensors for Health Monitoring and Diagnosis. Sensors 2019;19(9):2164
CrossRef -
Jim HSL, Hoogland AI, Brownstein NC, Barata A, Dicker AP, Knoop H, Gonzalez BD, Perkins R, Rollison D, Gilbert SM, Nanda R, Berglund A, Mitchell R, Johnstone PAS. Innovations in research and clinical care using patient‐generated health data. CA: A Cancer Journal for Clinicians 2020;70(3):182
CrossRef -
Bachman DeSilva M, Gifford AL, Keyi X, Li Z, Feng C, Brooks M, Harrold M, Yueying H, Gill CJ, Wubin X, Vian T, Haberer J, Bangsberg D, Sabin L. Feasibility and Acceptability of a Real-Time Adherence Device among HIV-Positive IDU Patients in China. AIDS Research and Treatment 2013;2013:1
CrossRef -
Pung A, Fletcher SL, Gunn JM. Mobile App Use by Primary Care Patients to Manage Their Depressive Symptoms: Qualitative Study. Journal of Medical Internet Research 2018;20(9):e10035
CrossRef -
Versluis A, Verkuil B, Spinhoven P, van der Ploeg MM, Brosschot JF. Changing Mental Health and Positive Psychological Well-Being Using Ecological Momentary Interventions: A Systematic Review and Meta-analysis. Journal of Medical Internet Research 2016;18(6):e152
CrossRef -
Fitzpatrick KK, Darcy A, Vierhile M. Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial. JMIR Mental Health 2017;4(2):e19
CrossRef -
NeCamp T, Sen S, Frank E, Walton MA, Ionides EL, Fang Y, Tewari A, Wu Z. Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial. Journal of Medical Internet Research 2020;22(3):e15033
CrossRef -
Rana R, Hume M, Reilly J, Jurdak R, Soar J. Opportunistic and Context-Aware Affect Sensing on Smartphones. IEEE Pervasive Computing 2016;15(2):60
CrossRef -
East ML, Havard B, Hastings NB. Mental Health Mobile Apps’ Instruction: Technology Adoption Theories Applied in a Mixed Methods Study of Counseling Faculty. Journal of Technology in Human Services 2016;34(4):301
CrossRef -
Asselbergs J, Ruwaard J, Ejdys M, Schrader N, Sijbrandij M, Riper H. Mobile Phone-Based Unobtrusive Ecological Momentary Assessment of Day-to-Day Mood: An Explorative Study. Journal of Medical Internet Research 2016;18(3):e72
CrossRef -
Charbonneau K, Lalande M, Briand C. L’assistant personnel numérique : outil de soutien à la réadaptation en santé mentale. Canadian Journal of Occupational Therapy 2015;82(4):254
CrossRef -
Bauer M, Glenn T, Monteith S, Bauer R, Whybrow PC, Geddes J. Ethical perspectives on recommending digital technology for patients with mental illness. International Journal of Bipolar Disorders 2017;5(1)
CrossRef -
. The future is in our hands: The role of mobile phones in the prevention and management of mental disorders. Australian & New Zealand Journal of Psychiatry 2013;47(2):111
CrossRef -
Roggeveen S, van Os J, Bemelmans K, van Poll M, Lousberg R. Investigating Associations Between Changes in Mobile Phone Use and Emotions Using the Experience Sampling Method: Pilot Study. JMIR Formative Research 2018;2(1):e12
CrossRef -
Rost T, Stein J, Löbner M, Kersting A, Luck-Sikorski C, Riedel-Heller SG. User Acceptance of Computerized Cognitive Behavioral Therapy for Depression: Systematic Review. Journal of Medical Internet Research 2017;19(9):e309
CrossRef -
Marsch LA, Campbell A, Campbell C, Chen C, Ertin E, Ghitza U, Lambert-Harris C, Hassanpour S, Holtyn AF, Hser Y, Jacobs P, Klausner JD, Lemley S, Kotz D, Meier A, McLeman B, McNeely J, Mishra V, Mooney L, Nunes E, Stafylis C, Stanger C, Saunders E, Subramaniam G, Young S. The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network. Journal of Substance Abuse Treatment 2020;112:4
CrossRef -
Burgess ER, Ringland KE, Nicholas J, Knapp AA, Eschler J, Mohr DC, Reddy MC. "I think people are powerful". Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
CrossRef -
Myin-Germeys I, Klippel A, Steinhart H, Reininghaus U. Ecological momentary interventions in psychiatry. Current Opinion in Psychiatry 2016;29(4):258
CrossRef -
. Smartphones as Social Actors? Social dispositional factors in assessing anthropomorphism. Computers in Human Behavior 2017;68:334
CrossRef -
Dennison L, Morrison L, Conway G, Yardley L. Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior change: Qualitative Study. Journal of Medical Internet Research 2013;15(4):e86
CrossRef -
Razavi R, Gharipour A, Gharipour M. Depression screening using mobile phone usage metadata: a machine learning approach. Journal of the American Medical Informatics Association 2020;27(4):522
CrossRef -
Haberer JE, Trabin T, Klinkman M. Furthering the reliable and valid measurement of mental health screening, diagnoses, treatment and outcomes through health information technology. General Hospital Psychiatry 2013;35(4):349
CrossRef -
Price M, Yuen EK, Goetter EM, Herbert JD, Forman EM, Acierno R, Ruggiero KJ. mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care. Clinical Psychology & Psychotherapy 2014;21(5):427
CrossRef -
Kumar S, Nilsen WJ, Abernethy A, Atienza A, Patrick K, Pavel M, Riley WT, Shar A, Spring B, Spruijt-Metz D, Hedeker D, Honavar V, Kravitz R, Craig Lefebvre R, Mohr DC, Murphy SA, Quinn C, Shusterman V, Swendeman D. Mobile Health Technology Evaluation. American Journal of Preventive Medicine 2013;45(2):228
CrossRef -
Runyan JD, Steinke EG. Virtues, ecological momentary assessment/intervention and smartphone technology. Frontiers in Psychology 2015;6
CrossRef -
Brown CH, Mohr DC, Gallo CG, Mader C, Palinkas L, Wingood G, Prado G, Kellam SG, Pantin H, Poduska J, Gibbons R, McManus J, Ogihara M, Valente T, Wulczyn F, Czaja S, Sutcliffe G, Villamar J, Jacobs C. A Computational Future for Preventing HIV in Minority Communities. JAIDS Journal of Acquired Immune Deficiency Syndromes 2013;63(Supplement 1):S72
CrossRef -
McInnes DK, Fix GM, Solomon JL, Petrakis BA, Sawh L, Smelson DA. Preliminary needs assessment of mobile technology use for healthcare among homeless veterans. PeerJ 2015;3:e1096
CrossRef -
Birney AJ, Gunn R, Russell JK, Ary DV. MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial. JMIR mHealth and uHealth 2016;4(1):e8
CrossRef -
Wan N, Qu W, Whittington J, Witbrodt BC, Henderson MP, Goulding EH, Schenk AK, Bonasera SJ, Lin G. Assessing Smart Phones for Generating Life-Space Indicators. Environment and Planning B: Planning and Design 2013;40(2):350
CrossRef -
Blázquez Martín D, De La Torre I, Garcia-Zapirain B, Lopez-Coronado M, Rodrigues J. Managing and Controlling Stress Using mHealth: Systematic Search in App Stores. JMIR mHealth and uHealth 2018;6(5):e111
CrossRef -
Grossman JT, Frumkin MR, Rodebaugh TL, Lenze EJ. mHealth Assessment and Intervention of Depression and Anxiety in Older Adults. Harvard Review of Psychiatry 2020;28(3):203
CrossRef -
Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth 2016;4(3):e106
CrossRef -
van der Meulen H, McCashin D, O'Reilly G, Coyle D. Using Computer Games to Support Mental Health Interventions: Naturalistic Deployment Study. JMIR Mental Health 2019;6(5):e12430
CrossRef -
Consolvo S, Bentley FR, Hekler EB, Phatak SS. Mobile User Research: A Practical Guide. Synthesis Lectures on Mobile and Pervasive Computing 2017;9(1):i
CrossRef -
Rootes-Murdy K, Glazer KL, Van Wert MJ, Mondimore FM, Zandi PP. Mobile technology for medication adherence in people with mood disorders: A systematic review. Journal of Affective Disorders 2018;227:613
CrossRef -
Silva Almodovar A, Surve S, Axon DR, Cooper D, Nahata MC. Self-Directed Engagement with a Mobile App (Sinasprite) and Its Effects on Confidence in Coping Skills, Depression, and Anxiety: Retrospective Longitudinal Study. JMIR mHealth and uHealth 2018;6(3):e64
CrossRef -
. Applying mobile technologies to mental health service delivery in South Asia. Asian Journal of Psychiatry 2012;5(3):225
CrossRef -
Marzano L, Bardill A, Fields B, Herd K, Veale D, Grey N, Moran P. The application of mHealth to mental health: opportunities and challenges. The Lancet Psychiatry 2015;2(10):942
CrossRef -
Chapman JJ, Roberts JA, Nguyen VT, Breakspear M. Quantification of free-living activity patterns using accelerometry in adults with mental illness. Scientific Reports 2017;7(1)
CrossRef -
Shen N, Levitan M, Johnson A, Bender JL, Hamilton-Page M, Jadad AR, Wiljer D. Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace. JMIR mHealth and uHealth 2015;3(1):e16
CrossRef -
Jahnel T, Schüz B. Partizipative Entwicklung von Digital-Public-Health-Anwendungen: Spannungsfeld zwischen Nutzer*innenperspektive und Evidenzbasierung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):153
CrossRef -
Frank E, Pong J, Asher Y, Soares CN. Smart phone technologies and ecological momentary data. Current Opinion in Psychiatry 2018;31(1):3
CrossRef -
Pryss R, Schlee W, Hoppenstedt B, Reichert M, Spiliopoulou M, Langguth B, Breitmayer M, Probst T. Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(6):e15547
CrossRef -
Bourla A, Ferreri F, Ogorzelec L, Guinchard C, Mouchabac S. Évaluation des troubles thymiques par l’étude des données passives : le concept de phénotype digital à l’épreuve de la culture de métier de psychiatre. L'Encéphale 2018;44(2):168
CrossRef -
Soares Teles A, Rocha A, José da Silva e Silva F, Correia Lopes J, O’Sullivan D, Van de Ven P, Endler M. Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness. Sensors 2017;17(12):127
CrossRef -
Giosan C, Cobeanu O, Mogoaşe C, Szentagotai A, Mureşan V, Boian R. Reducing depressive symptomatology with a smartphone app: study protocol for a randomized, placebo-controlled trial. Trials 2017;18(1)
CrossRef -
Robillard JM, Feng TL, Sporn AB, Lai J, Lo C, Ta M, Nadler R. Availability, readability, and content of privacy policies and terms of agreements of mental health apps. Internet Interventions 2019;17:100243
CrossRef -
Goldberg SB, Buck B, Raphaely S, Fortney JC. Measuring Psychiatric Symptoms Remotely: a Systematic Review of Remote Measurement-Based Care. Current Psychiatry Reports 2018;20(10)
CrossRef -
Huguet A, Rao S, McGrath PJ, Wozney L, Wheaton M, Conrod J, Rozario S, Choo KR. A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression. PLOS ONE 2016;11(5):e0154248
CrossRef -
. Using Big Data to study subjective well-being. Current Opinion in Behavioral Sciences 2017;18:28
CrossRef -
Rabbi M, Pfammatter A, Zhang M, Spring B, Choudhury T. Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults. JMIR mHealth and uHealth 2015;3(2):e42
CrossRef -
Chatterjee S, Moreno A, Lizotte SL, Akther S, Ertin E, Fagundes CP, Lam C, Rehg JM, Wan N, Wetter DW, Kumar S. SmokingOpp. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(1):1
CrossRef -
Naghizade E, Kulik L, Tanin E, Bailey J. Privacy- and Context-aware Release of Trajectory Data. ACM Transactions on Spatial Algorithms and Systems 2020;6(1):1
CrossRef -
. Technology-based interventions for psychiatric illnesses: improving care, one patient at a time. Epidemiology and Psychiatric Sciences 2014;23(4):317
CrossRef -
Fulmer R, Joerin A, Gentile B, Lakerink L, Rauws M. Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial. JMIR Mental Health 2018;5(4):e64
CrossRef -
. Passive sensing of mobile media use in children and families: a brief commentary on the promises and pitfalls. Pediatric Research 2019;86(4):425
CrossRef -
Spates CR, Padalino R, Hale AC, Germain CS, Nimmo K, Kohler R. A review of web‐based technology in behavioural activation. Clinical Psychologist 2016;20(1):27
CrossRef -
Parks AC, Williams AL, Kackloudis GM, Stafford JL, Boucher EM, Honomichl RD. The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study. Journal of Medical Internet Research 2020;22(1):e16211
CrossRef -
Aryana B, Brewster L, Nocera JA. Design for mobile mental health: an exploratory review. Health and Technology 2019;9(4):401
CrossRef -
Jacobson NC, Summers B, Wilhelm S. Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors. Journal of Medical Internet Research 2020;22(5):e16875
CrossRef -
Rashid H, Mendu S, Daniel KE, Beltzer ML, Teachman BA, Boukhechba M, Barnes LE. Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(3):1
CrossRef -
Brietzke E, Hawken ER, Idzikowski M, Pong J, Kennedy SH, Soares CN. Integrating digital phenotyping in clinical characterization of individuals with mood disorders. Neuroscience & Biobehavioral Reviews 2019;104:223
CrossRef -
Rabbi M, Aung MS, Gay G, Reid MC, Choudhury T. Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults. Journal of Medical Internet Research 2018;20(10):e10147
CrossRef -
Alharthi R, Alharthi R, Guthier B, El Saddik A. CASP: context-aware stress prediction system. Multimedia Tools and Applications 2019;78(7):9011
CrossRef -
Morrison LG, Hargood C, Lin SX, Dennison L, Joseph J, Hughes S, Michaelides DT, Johnston D, Johnston M, Michie S, Little P, Smith PW, Weal MJ, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201
CrossRef -
Dallery J, Jarvis B, Marsch L, Xie H. Mechanisms of change associated with technology-based interventions for substance use. Drug and Alcohol Dependence 2015;150:14
CrossRef -
Faurholt-Jepsen M, Bauer M, Kessing LV. Smartphone-based objective monitoring in bipolar disorder: status and considerations. International Journal of Bipolar Disorders 2018;6(1)
CrossRef -
Theilig M, Korbel JJ, Mayer G, Hoffmann C, Zarnekow R. Employing Environmental Data and Machine Learning to Improve Mobile Health Receptivity. IEEE Access 2019;7:179823
CrossRef -
Wang J, Wang Y, Wei C, Yao N, Yuan A, Shan Y, Yuan C. Smartphone Interventions for Long-Term Health Management of Chronic Diseases: An Integrative Review. Telemedicine and e-Health 2014;20(6):570
CrossRef -
Schueller SM, Begale M, Penedo FJ, Mohr DC. Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies. Journal of Medical Internet Research 2014;16(7):e181
CrossRef -
Ng MM, Firth J, Minen M, Torous J. User Engagement in Mental Health Apps: A Review of Measurement, Reporting, and Validity. Psychiatric Services 2019;70(7):538
CrossRef -
Burger F, Neerincx MA, Brinkman W. Technological State of the Art of Electronic Mental Health Interventions for Major Depressive Disorder: Systematic Literature Review. Journal of Medical Internet Research 2020;22(1):e12599
CrossRef -
Juarascio AS, Goldstein SP, Manasse SM, Forman EM, Butryn ML. Perceptions of the feasibility and acceptability of a smartphone application for the treatment of binge eating disorders: Qualitative feedback from a user population and clinicians. International Journal of Medical Informatics 2015;84(10):808
CrossRef -
Schueller SM, Muñoz RF, Mohr DC. Realizing the Potential of Behavioral Intervention Technologies. Current Directions in Psychological Science 2013;22(6):478
CrossRef -
Chan S, Torous J, Hinton L, Yellowlees P. Mobile Tele-Mental Health: Increasing Applications and a Move to Hybrid Models of Care. Healthcare 2014;2(2):220
CrossRef -
Terhorst Y, Rathner E, Baumeister H, Sander L. «Hilfe aus dem App-Store?»: Eine systematische Übersichtsarbeit und Evaluation von Apps zur Anwendung bei Depressionen. Verhaltenstherapie 2018;28(2):101
CrossRef -
Wang L, Miller LC. Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review. Health Communication 2020;35(12):1531
CrossRef -
Mohr DC, Burns MN, Schueller SM, Clarke G, Klinkman M. Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health. General Hospital Psychiatry 2013;35(4):332
CrossRef -
khan ZF, Alotaibi SR. Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective. Journal of Healthcare Engineering 2020;2020:1
CrossRef -
Amichai-Hamburger Y, Klomek AB, Friedman D, Zuckerman O, Shani-Sherman T. The future of online therapy. Computers in Human Behavior 2014;41:288
CrossRef -
Marley J, Farooq S. Mobile telephone apps in mental health practice: uses, opportunities and challenges. BJPsych Bulletin 2015;39(6):288
CrossRef -
Wentura D, Bermeitinger C, Eder A, Giesen CG, Michalkiewicz M, Hartwigsen G, Röder B, Lischke A, Kübler A, Pauli P, Renner K, Ziegler M, Spengler M, Christiansen H, Richter T, Souvignier E, Heyder A, Kunina-Habenicht O, Hertel S, Sparfeldt J, Bischof N, Glück J, Haun D, Liebal K, Amici F, Bender A, Bohn M, Bräuer J, Buttelmann D, Burkart J, Cacchione T, DeTroy S, Faßbender I, Fichtel C, Fischer J, Gampe A, Gray R, Horn L, Oña L, Kärtner J, Kaminski J, Kanngießer P, Keller H, Köster M, Kopp KS, Kornadt H, Rakoczy H, Schuppli C, Stengelin R, Trommsdorff G, Leeuwen EV, Schaik CV, Jüttemann G, Loh W, Paulus M. Kommentare zu Daum, M. M., Greve, W., Pauen, S., Schuhrke, B. und Schwarzer, G. (2020). Positionspapier der Fachgruppe Entwicklungspsychologie: Ein Versuch einer Standortbestimmung. Psychologische Rundschau 2020;71(1):24
CrossRef -
Seppälä J, De Vita I, Jämsä T, Miettunen J, Isohanni M, Rubinstein K, Feldman Y, Grasa E, Corripio I, Berdun J, D'Amico E, Bulgheroni M. Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Mental Health 2019;6(2):e9819
CrossRef -
Lan A, Lee A, Munroe K, McRae C, Kaleis L, Keshavjee K, Guergachi A. Review of cognitive behavioural therapy mobile apps using a reference architecture embedded in the patient-provider relationship. BioMedical Engineering OnLine 2018;17(1)
CrossRef -
Kamel Boulos MN, Peng G, VoPham T. An overview of GeoAI applications in health and healthcare. International Journal of Health Geographics 2019;18(1)
CrossRef -
Taki S, Russell CG, Lymer S, Laws R, Campbell K, Appleton J, Ong K, Denney-Wilson E. A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program. Frontiers in Endocrinology 2019;10
CrossRef -
Thewissen V, Gunther N. E-mental health: state of the art. Tijdschrift voor Psychotherapie 2015;41(6):374
CrossRef -
Morgan AJ, Jorm AF, Mackinnon AJ. Usage and reported helpfulness of self-help strategies by adults with sub-threshold depression. Journal of Affective Disorders 2012;136(3):393
CrossRef -
White G, Caine K, Connelly K, Selove R, Doub T. Designing Consumer Health Technologies for the Treatment of Patients With Depression: A Health Practitioner's Perspective. interactive Journal of Medical Research 2014;3(1):e2
CrossRef -
Van Ameringen M, Turna J, Khalesi Z, Pullia K, Patterson B. There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders. Depression and Anxiety 2017;34(6):526
CrossRef -
Turvey CL, Roberts LJ. Recent developments in the use of online resources and mobile technologies to support mental health care. International Review of Psychiatry 2015;27(6):547
CrossRef -
Schootman M, Nelson EJ, Werner K, Shacham E, Elliott M, Ratnapradipa K, Lian M, McVay A. Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps. International Journal of Health Geographics 2016;15(1)
CrossRef -
Kirwan M, Duncan MJ, Vandelanotte C, Mummery WK. Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial. Journal of Medical Internet Research 2012;14(2):e55
CrossRef -
Hekler EB, Klasnja P, Traver V, Hendriks M. Realizing Effective Behavioral Management of Health: The Metamorphosis of Behavioral Science Methods. IEEE Pulse 2013;4(5):29
CrossRef -
Ben-Zeev D, Schueller SM, Begale M, Duffecy J, Kane JM, Mohr DC. Strategies for mHealth Research: Lessons from 3 Mobile Intervention Studies. Administration and Policy in Mental Health and Mental Health Services Research 2015;42(2):157
CrossRef -
Turvey C, Fortney J. The Use of Telemedicine and Mobile Technology to Promote Population Health and Population Management for Psychiatric Disorders. Current Psychiatry Reports 2017;19(11)
CrossRef -
Kumar S, Chong I. Correlation Analysis to Identify the Effective Data in Machine Learning: Prediction of Depressive Disorder and Emotion States. International Journal of Environmental Research and Public Health 2018;15(12):2907
CrossRef -
. Digital Technology and Mental Health Interventions: Opportunities and Challenges. Arbor 2015;191(771):a210
CrossRef -
Renner K, Klee S, Oertzen T, Rauthmann J. Bringing Back the Person into Behavioural Personality Science Using Big Data. European Journal of Personality 2020;
CrossRef -
Bruen AJ, Wall A, Haines-Delmont A, Perkins E. Exploring Suicidal Ideation Using an Innovative Mobile App-Strength Within Me: The Usability and Acceptability of Setting up a Trial Involving Mobile Technology and Mental Health Service Users. JMIR Mental Health 2020;7(9):e18407
CrossRef -
Chaix B, Lobre G, Mahboub S, Delamon G, Bibault J, Brouard B. Le chatbot, outil d’accompagnement thérapeutique de la dépression chez les patientes atteintes d’un cancer du sein. Psycho-Oncologie 2020;14(1-2):17
CrossRef -
Mukhiya SK, Wake JD, Inal Y, Pun KI, Lamo Y. Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review. Journal of Medical Internet Research 2020;22(11):e21066
CrossRef -
Fosso Wamba S, Bawack RE, Guthrie C, Queiroz MM, Carillo KDA. Are we preparing for a good AI society? A bibliometric review and research agenda. Technological Forecasting and Social Change 2021;164:120482
CrossRef -
Wang Y, Ren X, Liu X, Zhu T. Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study. JMIR mHealth and uHealth 2021;9(1):e19046
CrossRef -
Taeger J, Bischoff S, Hagen R, Rak K. Utilization of Smartphone Depth Mapping Cameras for App-Based Grading of Facial Movement Disorders: Development and Feasibility Study. JMIR mHealth and uHealth 2021;9(1):e19346
CrossRef -
Bastiaansen JA, Ornée DA, Meurs M, Oldehinkel AJ. An evaluation of the efficacy of two add-on ecological momentary intervention modules for depression in a pragmatic randomized controlled trial (ZELF-i). Psychological Medicine 2022;52(13):2731
CrossRef -
Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1)
CrossRef -
Mendu S, Baglione A, Baee S, Wu C, Ng B, Shaked A, Clore G, Boukhechba M, Barnes L. A Framework for Understanding the Relationship between Social Media Discourse and Mental Health. Proceedings of the ACM on Human-Computer Interaction 2020;4(CSCW2):1
CrossRef -
Gharani P, Karimi HA, Syzdykbayev M, Burke LE, Rathbun SL, Davis EM, Gary-Webb TL, Mendez DD. Geographically-explicit Ecological Momentary Assessment (GEMA) Architecture and Components: Lessons Learned from PMOMS. Informatics for Health and Social Care 2021;46(2):158
CrossRef -
Maharjan SM, Poudyal A, van Heerden A, Byanjankar P, Thapa A, Islam C, Kohrt BA, Hagaman A. Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability. BMC Medical Informatics and Decision Making 2021;21(1)
CrossRef -
Sheikh M, Qassem M, Kyriacou PA. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring. Frontiers in Digital Health 2021;3
CrossRef -
Shim Y, Scotney VS, Tay L. Conducting mobile-enabled ecological momentary intervention research in positive psychology: key considerations and recommended practices. The Journal of Positive Psychology 2022;17(5):708
CrossRef -
Loo Gee B, Batterham PJ, Gulliver A, Reynolds J, Griffiths KM. An Ecological Momentary Intervention for people with social anxiety: A descriptive case study. Informatics for Health and Social Care 2021;46(4):370
CrossRef -
Planas R, Yuguero O. Technological prescription: evaluation of the effectiveness of mobile applications to improve depression and anxiety. Systematic review. Informatics for Health and Social Care 2021;46(3):273
CrossRef -
Chan AHY, Honey MLL. User perceptions of mobile digital apps for mental health: Acceptability and usability ‐ An integrative review. Journal of Psychiatric and Mental Health Nursing 2022;29(1):147
CrossRef -
Balaskas A, Schueller SM, Cox AL, Doherty G, Myers B. Ecological momentary interventions for mental health: A scoping review. PLOS ONE 2021;16(3):e0248152
CrossRef -
Hilty DM, Armstrong CM, Luxton DD, Gentry MT, Krupinski EA. A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions. Journal of Technology in Behavioral Science 2021;6(2):278
CrossRef -
Opoku Asare K, Terhorst Y, Vega J, Peltonen E, Lagerspetz E, Ferreira D. Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study. JMIR mHealth and uHealth 2021;9(7):e26540
CrossRef -
Lekkas D, Jacobson NC. Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma. Scientific Reports 2021;11(1)
CrossRef -
Everitt N, Broadbent J, Richardson B, Smyth JM, Heron K, Teague S, Fuller-Tyszkiewicz M. Exploring the features of an app-based just-in-time intervention for depression. Journal of Affective Disorders 2021;291:279
CrossRef -
Gooding P, Kariotis T. Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review. JMIR Mental Health 2021;8(6):e24668
CrossRef -
Lee S, Kim H, Park MJ, Jeon HJ. Current Advances in Wearable Devices and Their Sensors in Patients With Depression. Frontiers in Psychiatry 2021;12
CrossRef -
Mehta A, Niles AN, Vargas JH, Marafon T, Couto DD, Gross JJ. Acceptability and Effectiveness of Artificial Intelligence Therapy for Anxiety and Depression (Youper): Longitudinal Observational Study. Journal of Medical Internet Research 2021;23(6):e26771
CrossRef -
Tønning ML, Faurholt-Jepsen M, Frost M, Bardram JE, Kessing LV. Mood and Activity Measured Using Smartphones in Unipolar Depressive Disorder. Frontiers in Psychiatry 2021;12
CrossRef -
Taliaz D, Souery D. A New Characterization of Mental Health Disorders Using Digital Behavioral Data: Evidence from Major Depressive Disorder. Journal of Clinical Medicine 2021;10(14):3109
CrossRef -
Dao KP, De Cocker K, Tong HL, Kocaballi AB, Chow C, Laranjo L. Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies. JMIR mHealth and uHealth 2021;9(11):e22890
CrossRef -
Mhasawade V, Zhao Y, Chunara R. Machine learning and algorithmic fairness in public and population health. Nature Machine Intelligence 2021;3(8):659
CrossRef -
van Genugten CR, Schuurmans J, van Ballegooijen W, Hoogendoorn AW, Smit JH, Riper H. Discovering different profiles in the dynamics of depression based on real–time monitoring of mood: a first exploration. Internet Interventions 2021;26:100437
CrossRef -
Orr M, MacLeod L, Bagnell A, McGrath P, Wozney L, Meier S. The comfort of adolescent patients and their parents with mobile sensing and digital phenotyping. Computers in Human Behavior 2023;140:107603
CrossRef -
Ferrás Sexto C, García Y. Los datos georreferenciados con teléfonos móviles para las terapias psicosociales. MEDICA REVIEW. International Medical Humanities Review / Revista Internacional de Humanidades Médicas 2019;7(2):83
CrossRef -
Wang X, Feng Z. A Narrative Review of Empirical Literature of Behavioral Activation Treatment for Depression. Frontiers in Psychiatry 2022;13
CrossRef -
Langener AM, Stulp G, Kas MJ, Bringmann LF. Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review. JMIR Mental Health 2023;10:e42646
CrossRef -
Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes LE, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413
CrossRef -
Bos FM, von Klipstein L, Emerencia AC, Veermans E, Verhage T, Snippe E, Doornbos B, Hadders-Prins G, Wichers M, Riese H. A Web-Based Application for Personalized Ecological Momentary Assessment in Psychiatric Care: User-Centered Development of the PETRA Application. JMIR Mental Health 2022;9(8):e36430
CrossRef -
Akin-Sari B, Inozu M, Haciomeroglu AB, Trak E, Tufan D, Doron G. Cognitive training using a mobile app as a coping tool against COVID-19 distress: A crossover randomized controlled trial. Journal of Affective Disorders 2022;311:604
CrossRef -
Maurice V, Didillon A, Purper-Ouakil D, Kerbage H. Adapting a parent training program to the COVID-19 crisis in a mental health care setting in France. L'Encéphale 2022;48(3):354
CrossRef -
Yoon S, Lee S, Suh H, Chung S, Kim JW. Effects of mobile mindfulness training on mental health of employees: A CONSORT-compliant pilot randomized controlled trial. Medicine 2022;101(35):e30260
CrossRef -
Brogly C, Bauer MA, Lizotte DJ, Press ML, MacDougall A, Speechley M, Huner E, Mitchell M, Anderson KK, Pila E. An App-Based Surveillance System for Undergraduate Students’ Mental Health During the COVID-19 Pandemic: Protocol for a Prospective Cohort Study. JMIR Research Protocols 2021;10(9):e30504
CrossRef -
Molloy A, Anderson PL. Engagement with mobile health interventions for depression: A systematic review. Internet Interventions 2021;26:100454
CrossRef -
Dulin P, Mertz R, Edwards A, King D. Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(5):e33037
CrossRef -
Dias LPS, Vianna HD, Barbosa JLV. Human behaviour data analysis and noncommunicable diseases: a systematic mapping study. Behaviour & Information Technology 2023;42(14):2485
CrossRef -
Ma X, Yang X, Gao J, Xu C. Health Status Prediction with Local-Global Heterogeneous Behavior Graph. ACM Transactions on Multimedia Computing, Communications, and Applications 2021;17(4):1
CrossRef -
Mendes JPM, Moura IR, Van de Ven P, Viana D, Silva FJS, Coutinho LR, Teixeira S, Rodrigues JJPC, Teles AS. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735
CrossRef -
Sigrist C, Resch F, Kaess M, Koenig J. Eine mehrdimensionale Untersuchung der Emotionsregulation im Kontext Nicht-Suizidaler Selbstverletzung im Jugendalter. Praxis der Kinderpsychologie und Kinderpsychiatrie 2021;70(8):699
CrossRef -
Kamath J, Barriera RL, Jain N, Keisari E, Wang B. Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives. World Journal of Psychiatry 2022;12(3):393
CrossRef -
Watanabe K, Tsutsumi A. The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study. JMIR Formative Research 2022;6(11):e40339
CrossRef -
Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy JW, Sultan S, Jordan F, Tawfick W. Mobile health technologies to improve walking distance in people with intermittent claudication. Cochrane Database of Systematic Reviews 2021;2021(8)
CrossRef -
Khare MM, Zimmermann K, Lyons R, Locklin C, Gerber BS. Feasibility of promoting physical activity using mHEALTH technology in rural women: the step-2-it study. BMC Women's Health 2021;21(1)
CrossRef -
Safiee L, Rough DJ, Whitford H. Barriers to and Facilitators of Using eHealth to Support Gestational Diabetes Mellitus Self-management: Systematic Literature Review of Perceptions of Health Care Professionals and Women With Gestational Diabetes Mellitus. Journal of Medical Internet Research 2022;24(10):e39689
CrossRef -
De Angel V, Lewis S, White K, Oetzmann C, Leightley D, Oprea E, Lavelle G, Matcham F, Pace A, Mohr DC, Dobson R, Hotopf M. Digital health tools for the passive monitoring of depression: a systematic review of methods. npj Digital Medicine 2022;5(1)
CrossRef -
Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatric Disease and Treatment 2021;Volume 17:3415
CrossRef -
Oyebode O, Fowles J, Steeves D, Orji R. Machine Learning Techniques in Adaptive and Personalized Systems for Health and Wellness. International Journal of Human–Computer Interaction 2023;39(9):1938
CrossRef -
Leertouwer I, Cramer AOJ, Vermunt JK, Schuurman NK. A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on Self-Report EMA Data. Frontiers in Psychology 2021;12
CrossRef -
Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Benefits of Using Activity Recommender Technology for Self-management of Depressive Symptoms. ACM Transactions on Computing for Healthcare 2021;2(4):1
CrossRef -
Mouchabac S, Maatoug R, Conejero I, Adrien V, Bonnot O, Millet B, Ferreri F, Bourla A. In Search of Digital Dopamine: How Apps Can Motivate Depressed Patients, a Review and Conceptual Analysis. Brain Sciences 2021;11(11):1454
CrossRef -
Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson NC. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1)
CrossRef -
Gual-Montolio P, Jaén I, Martínez-Borba V, Castilla D, Suso-Ribera C. Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(13):7737
CrossRef -
Torous J, Bucci S, Bell IH, Kessing LV, Faurholt‐Jepsen M, Whelan P, Carvalho AF, Keshavan M, Linardon J, Firth J. The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry 2021;20(3):318
CrossRef -
Liu Y, Kang K, Doe MJ. HADD: High-Accuracy Detection of Depressed Mood. Technologies 2022;10(6):123
CrossRef -
. Impacts on Context Aware Systems in Evidence-Based Health Informatics: A Review. Healthcare 2022;10(4):685
CrossRef -
Rout A, Nitoslawski S, Ladle A, Galpern P. Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches. Computers, Environment and Urban Systems 2021;90:101705
CrossRef -
Buda TS, Guerreiro J, Omana Iglesias J, Castillo C, Smith O, Matic A. Foundations for fairness in digital health apps. Frontiers in Digital Health 2022;4
CrossRef -
Yue Z, Zhang R, Xiao J. Passive social media use and psychological well-being during the COVID-19 pandemic: The role of social comparison and emotion regulation. Computers in Human Behavior 2022;127:107050
CrossRef -
Tag B, Sarsenbayeva Z, Cox AL, Wadley G, Goncalves J, Kostakos V. Emotion trajectories in smartphone use: Towards recognizing emotion regulation in-the-wild. International Journal of Human-Computer Studies 2022;166:102872
CrossRef -
Bonilla-Escribano P, Ramirez D, Sedano-Capdevila A, Campana-Montes JJ, Baca-Garcia E, Courtet P, Artes-Rodriguez A. Assessment of e-Social Activity in Psychiatric Patients. IEEE Journal of Biomedical and Health Informatics 2019;23(6):2247
CrossRef -
Rahmani AM, Lai J, Jafarlou S, Azimi I, Yunusova A, Rivera AP, Labbaf S, Anzanpour A, Dutt N, Jain R, Borelli JL. Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being. Frontiers in Digital Health 2022;4
CrossRef -
Lekkas D, Price G, McFadden J, Jacobson NC. The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment. Mindfulness 2021;12(10):2519
CrossRef -
Eghdami S, Ahmadkhaniha HR, Baradaran HR, Hirbod-Mobarakeh A. Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis. Social Psychiatry and Psychiatric Epidemiology 2023;58(10):1431
CrossRef -
Shin J, Bae SM. A Systematic Review of Location Data for Depression Prediction. International Journal of Environmental Research and Public Health 2023;20(11):5984
CrossRef -
Lim J, Lee S, Noh J, Lee W, Su P, Yoon Y. Effectiveness of Mental Health Care by Using Machine Learning on Manufacturing Worker. International Journal of Precision Engineering and Manufacturing-Smart Technology 2023;1(2):227
CrossRef -
Abdallah S, Khalil A. Using a hybrid methodology for literature review: a case study in depression research. Information Discovery and Delivery 2023;
CrossRef -
Chan G, Alslaity A, Wilson R, Orji R. Feeling Moodie: Insights from a Usability Evaluation to Improve the Design of mHealth Apps. International Journal of Human–Computer Interaction 2023;:1
CrossRef -
S Annamalai A, Vijayakumar R, Vellaisamy P, Nagarajan M. Impact of Health Information Technology Tools on Patient Safety in the Indian Healthcare Industry. The Open Biomedical Engineering Journal 2023;17(1)
CrossRef -
Wang Z, Larrazabal MA, Rucker M, Toner ER, Daniel KE, Kumar S, Boukhechba M, Teachman BA, Barnes LE. Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1
CrossRef -
Forbes A, Keleher MR, Venditto M, DiBiasi F. Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e43727
CrossRef -
Zon M, Ganesh G, Deen MJ, Fang Q. Context-Aware Medical Systems within Healthcare Environments: A Systematic Scoping Review to Identify Subdomains and Significant Medical Contexts. International Journal of Environmental Research and Public Health 2023;20(14):6399
CrossRef -
Frank AC, Li R, Peterson BS, Narayanan SS. Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review. JMIR Mental Health 2023;10:e45572
CrossRef -
Darharaj M, Roshanpajouh M, Amini M, Shrier LA, Habibi Asgarabad M. The effectiveness of mobile-based ecological momentary motivational enhancement therapy in reducing craving and severity of cannabis use disorder: Study protocol for a randomized controlled trial. Internet Interventions 2023;34:100669
CrossRef -
Gaidai AS, Kadyrov RV, Kapustina TV. Mobile Apps for mental health: Literature review. Психолог 2023;(5):100
CrossRef -
Kulikov VN, Crosthwaite PC, Hall SA, Flannery JE, Strauss GS, Vierra EM, Koepsell XL, Lake JI, Padmanabhan A. A CBT-based mobile intervention as an adjunct treatment for adolescents with symptoms of depression: a virtual randomized controlled feasibility trial. Frontiers in Digital Health 2023;5
CrossRef -
Giannopoulou P, Vrahatis AG, Papalaskari M, Vlamos P. The RODI mHealth app Insight: Machine-Learning-Driven Identification of Digital Indicators for Neurodegenerative Disorder Detection. Healthcare 2023;11(22):2985
CrossRef -
Pozuelo JR, Moffett BD, Davis M, Stein A, Cohen H, Craske MG, Maritze M, Makhubela P, Nabulumba C, Sikoti D, Kahn K, Sodi T, van Heerden A, O’Mahen HA. User-Centered Design of a Gamified Mental Health App for Adolescents in Sub-Saharan Africa: Multicycle Usability Testing Study. JMIR Formative Research 2023;7:e51423
CrossRef -
Jeong S, Cha C, Nam S, Song J. The effects of mobile technology-based support on young women with depressive symptoms: A block randomized controlled trial. Medicine 2024;103(1):e36748
CrossRef -
M VR, GNK G, D R, T VP, Rao GN. Neuro Receptor Signal Detecting and Monitoring Smart Devices for Biological Changes in Cognitive Health Conditions. Annals of Neurosciences 2024;
CrossRef -
Bell IH, Lim MH, Rossell SL, Thomas N. Ecological Momentary Assessment and Intervention in the Treatment of Psychotic Disorders: A Systematic Review. Psychiatric Services 2017;68(11):1172
CrossRef -
Gopalakrishnan A, Gururajan R, Zhou X, Venkataraman R, Chan KC, Higgins N. A survey of autonomous monitoring systems in mental health. WIREs Data Mining and Knowledge Discovery 2024;
CrossRef -
Gültekin M, Şahin M. The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think?. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2024;18(1)
CrossRef -
Zhou S, Levinson AH, Zhang X, Portz JD, Moore SL, Gore MO, Ford KL, Li Q, Bull S. A Pilot Study and Ecological Model of Smoking Cues to Inform Mobile Health Strategies for Quitting Among Low-Income Smokers. Health Promotion Practice 2021;22(6):850
CrossRef -
Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy JW, Sultan S, Jordan F, Tawfick W. Mobile health technologies to improve walking distance in people with intermittent claudication. Cochrane Database of Systematic Reviews 2024;2024(2)
CrossRef -
Killian JA, Jain M, Jia Y, Amar J, Huang E, Tambe M. New Approach to Equitable Intervention Planning to Improve Engagement and Outcomes in a Digital Health Program: Simulation Study. JMIR Diabetes 2024;9:e52688
CrossRef -
Zafar F, Fakhare Alam L, Vivas RR, Wang J, Whei SJ, Mehmood S, Sadeghzadegan A, Lakkimsetti M, Nazir Z. The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review. Cureus 2024;
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1838):
-
Bardram JE, Frost MM. Designing Healthcare That Works. 2018. :167
CrossRef -
Pouliakis A, Archondakis S, Margari N, Karakitsos P. M-Health Innovations for Patient-Centered Care. 2016. chapter 12:240
CrossRef -
Pouliakis A, Margari N, Karakitsou E, Archondakis S, Karakitsos P. Emerging Developments and Practices in Oncology. 2018. chapter 5:114
CrossRef -
. Positive Psychology in Practice. 2015. :237
CrossRef -
Laranjo L, Lau A, Coiera E. Cognitive Informatics in Health and Biomedicine. 2017. Chapter 2:13
CrossRef -
. The Wiley Blackwell Handbook of Positive Psychological Interventions. 2014. :433
CrossRef -
Colombo D, Suso-Ribera C, Fernández-Álvarez J, Cipresso P, García-Palacios A, Riva G, Botella C. Comprehensive Clinical Psychology. 2022. :106
CrossRef -
Musyimi CW, Lai Y, Mutiso VN, Ndetei D. Innovations in Global Mental Health. 2020. Chapter 12-1:1
CrossRef -
Rajagopalan A, Ho RCM. Major Depressive Disorder. 2020. :147
CrossRef -
Pedrelli P, Bentley KH, Howe E, Shapero BG. The Massachusetts General Hospital Guide to Depression. 2019. Chapter 14:179
CrossRef -
Tamposis I, Pouliakis A, Fezoulidis I, Karakitsos P. M-Health Innovations for Patient-Centered Care. 2016. chapter 5:91
CrossRef -
Jacob ML, Storch EA. Mental Health Practice in a Digital World. 2015. Chapter 4:57
CrossRef -
Yang P, Chang C, Chen Y, Chiang J, Hung GC. Health Information Science. 2014. Chapter 19:175
CrossRef -
. Technology and Adolescent Mental Health. 2018. Chapter 11:135
CrossRef -
Pouliakis A, Karakitsou E, Margari N. Mobile Health Applications for Quality Healthcare Delivery. 2019. chapter 7:136
CrossRef -
. Complex, Intelligent, and Software Intensive Systems. 2020. Chapter 50:569
CrossRef -
Fang Y, Mao R. Depressive Disorders: Mechanisms, Measurement and Management. 2019. Chapter 1:1
CrossRef -
Aranki D, Kurillo G, Bajcsy R. Handbook of Large-Scale Distributed Computing in Smart Healthcare. 2017. Chapter 18:473
CrossRef -
. Machine Learning. 2020. :329
CrossRef -
Manațe B, Fortiş F, Moore P. Securing the Internet of Things. 2019. chapter 31:609
CrossRef -
. Advances in Information and Communication Networks. 2019. Chapter 8:91
CrossRef -
Apolinário-Hagen J, Fritsche L, Albers L, Salewski C. Treatment Resistance in Psychiatry. 2019. Chapter 21:311
CrossRef -
Tuena C, Chiappini M, Repetto C, Riva G. Comprehensive Clinical Psychology. 2022. :10
CrossRef -
Koumpouros Y, Georgoulas A. Mobile Health Applications for Quality Healthcare Delivery. 2019. chapter 1:1
CrossRef -
Campise RL, Kinn JT, Cooper D. Handbook of Military Psychology. 2017. Chapter 26:437
CrossRef -
Lee H, Cho A, Jo Y, Whang M. Advances in Computer Science and Ubiquitous Computing. 2018. Chapter 212:1332
CrossRef -
Brown CH, Mason WA, Brown EC. Defining Prevention Science. 2014. Chapter 16:363
CrossRef -
Wang R, Chen F, Chen Z, Li T, Harari G, Tignor S, Zhou X, Ben-Zeev D, Campbell AT. Mobile Health. 2017. Chapter 2:7
CrossRef -
Ebert DD, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. 2019. Chapter 29:583
CrossRef -
Stütz T, Kowar T, Kager M, Tiefengrabner M, Stuppner M, Blechert J, Wilhelm FH, Ginzinger S. User Modeling, Adaptation and Personalization. 2015. Chapter 20:240
CrossRef -
Chan S, Torous JB, Hinton L, Yellowlees PM. e-Mental Health. 2016. Chapter 11:217
CrossRef -
Kauer S, Reid S. Encyclopedia of Mobile Phone Behavior. 2015. chapter 71:860
CrossRef -
Piwek L, Joinson A. Behavior Change Research and Theory. 2017. :137
CrossRef -
Vailati Riboni F, Pagnini F. Comprehensive Clinical Psychology. 2022. :1
CrossRef -
Ferguson SG, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. 23:301
CrossRef -
Pouliakis A, Archondakis S, Margari N, Karakitsos P. Data Analytics in Medicine. 2020. chapter 96:1921
CrossRef -
Luxton DD, June JD, Sano A, Bickmore T. Artificial Intelligence in Behavioral and Mental Health Care. 2016. :137
CrossRef -
Tamposis I, Pouliakis A, Fezoulidis I, Karakitsos P. Medical Imaging. 2017. chapter 41:1020
CrossRef -
. Encyclopedia of Mobile Phone Behavior. 2015. chapter 72:871
CrossRef -
Iyawa GE, Langan-Martin J, Sevalie S, Masikara W. Impacts of Information Technology on Patient Care and Empowerment. 2020. chapter 4:58
CrossRef -
. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. Part VI:299
CrossRef -
Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. 2019. :109
CrossRef -
Hegerl U, Dogan E, Oehler C, Sander C, Stöber F. Gesundheit digital. 2019. Chapter 4:47
CrossRef -
Zhang R, Kornfield R. The International Encyclopedia of Media Psychology. 2020. :1
CrossRef -
Burns MN, Mohr DC. Encyclopedia of Behavioral Medicine. 2020. Chapter 182:729
CrossRef -
Rosenfeld A, Benrimoh D, Armstrong C, Mirchi N, Langlois-Therrien T, Rollins C, Tanguay-Sela M, Mehltretter J, Fratila R, Israel S, Snook E, Perlman K, Kleinerman A, Saab B, Thoburn M, Gabbay C, Yaniv-Rosenfeld A. Applications of Big Data in Healthcare. 2021. :137
CrossRef -
Pouliakis A, Margari N, Karakitsou E, Archondakis S, Karakitsos P. Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. 2021. chapter 85:1740
CrossRef -
Iyawa GE, Langan-Martin J, Sevalie S, Masikara W. Research Anthology on Mental Health Stigma, Education, and Treatment. 2021. chapter 12:193
CrossRef -
Vaid SS, Abdullah S, Thomaz E, Harari GM. Measuring and Modeling Persons and Situations. 2021. :103
CrossRef -
Mao S, Khalifa Y, Zhang Z, Shu K, Suri A, Bouzid Z, Sejdic E. Digital Health. 2021. :211
CrossRef -
Sulaiman M, Håkansson A, Karlsen R. ICT for Health, Accessibility and Wellbeing. 2021. Chapter 9:94
CrossRef -
Ahmed M, Zubair S. Explainable Artificial Intelligence for Cyber Security. 2022. Chapter 12:265
CrossRef -
Marchionatti LE, Mastella NDS, Bouvier VDA, Passos IC. Digital Mental Health. 2023. Chapter 3:35
CrossRef -
Tugade MM, Tan TY, Wachsmuth LS, Bradley EH. The Cambridge Handbook of Community Psychology. 2021. 27:562
CrossRef -
Musyimi CW, Lai Y, Mutiso VN, Ndetei D. Innovations in Global Mental Health. 2021. Chapter 12:501
CrossRef -
Pramanik HS, Pal A, Kirtania M, Chakravarty T, Ghose A. Smartphone-Based Detection Devices. 2021. :375
CrossRef -
Koumpouros Y, Georgoulas A. M-Health Innovations for Patient-Centered Care. 2016. chapter 2:20
CrossRef -
. The Cambridge Handbook of Community Psychology. 2021. Part III:197
CrossRef -
Llera SJ, Shin KE, Erickson TM, Przeworski A, Newman MG. Comprehensive Clinical Psychology. 2022. :336
CrossRef -
Koumpouros Y, Georgoulas A. Gaming and Technology Addiction. 2017. chapter 34:758
CrossRef -
. Digital Identity in the New Era of Personalized Medicine. 2022. chapter 8:170
CrossRef -
Harrer M, Terhorst Y, Baumeister H, Ebert DD. Digitale Gesundheitsinterventionen. 2023. Chapter 27:465
CrossRef -
Collecchia G, De Gobbi R. AI in Clinical Practice. 2024. :91
CrossRef -
Chan G, Alslaity A, Wilson R, Rajeshsingh P, Orji R. Intelligent Systems and Applications. 2024. Chapter 28:413
CrossRef