Published on in Vol 13, No 3 (2011): Jul-Sep
Journals
- Braz V, Lopes M. Evaluation of mobile applications related to nutrition. Public Health Nutrition 2018:1 View
- Castro L, 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 View
- Schueller S, Aguilera A, Mohr D. Ecological momentary interventions for depression and anxiety. Depression and Anxiety 2017;34(6):540 View
- 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 View
- Doryab A, Frost M, Faurholt-Jepsen M, Kessing L, Bardram J. 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 View
- Faurholt-Jepsen M, Busk J, Þórarinsdóttir H, Frost M, Bardram J, Vinberg M, Kessing L. Objective smartphone data as a potential diagnostic marker of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2019;53(2):119 View
- Ebenfeld L, Kleine Stegemann S, Lehr D, Ebert D, 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 View
- 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 View
- Wenze S, Armey M, Miller I. Feasibility and Acceptability of a Mobile Intervention to Improve Treatment Adherence in Bipolar Disorder. Behavior Modification 2014;38(4):497 View
- 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 View
- Faherty L, Hantsoo L, Appleby D, Sammel M, Bennett I, Wiebe D. 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 View
- Jacobson N, Chung Y. 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 View
- Reger G, Skopp N, Edwards-Stewart A, Lemus E. Comparison of Prolonged Exposure (PE) Coach to Treatment as Usual: A Case Series With Two Active Duty Soldiers. Military Psychology 2015;27(5):287 View
- Yin K, Laranjo L, Tong H, Lau A, Kocaballi A, Martin P, Vagholkar S, Coiera E. Context-Aware Systems for Chronic Disease Patients: Scoping Review. Journal of Medical Internet Research 2019;21(6):e10896 View
- Granholm E, Holden J, 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 View
- Jashinsky J, Burton S, Hanson C, West J, Giraud-Carrier C, Barnes M, Argyle T. Tracking Suicide Risk Factors Through Twitter in the US. Crisis 2014;35(1):51 View
- 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) View
- Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 View
- 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 View
- Triantafyllidis A, 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 View
- Webb C, Rosso I, Rauch S. Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions. Harvard Review of Psychiatry 2017;25(3):114 View
- Saeb S, Zhang M, Karr C, Schueller S, Corden M, Kording K, Mohr D. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. Journal of Medical Internet Research 2015;17(7):e175 View
- Pinder C, Vermeulen J, Cowan B, Beale R. Digital Behaviour Change Interventions to Break and Form Habits. ACM Transactions on Computer-Human Interaction 2018;25(3):1 View
- Kennedy C, Powell J, Payne T, 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 View
- Hoff K, Bashir M. Trust in Automation. Human Factors: The Journal of the Human Factors and Ergonomics Society 2015;57(3):407 View
- 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 View
- 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 View
- 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 View
- Schueller S, Adkins E. Mobile Health Technologies to Deliver and Support Cognitive-Behavioral Therapy. Psychiatric Annals 2019;49(8):348 View
- 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 View
- Callan J, Wright J, Siegle G, Howland R, Kepler B. Use of Computer and Mobile Technologies in the Treatment of Depression. Archives of Psychiatric Nursing 2017;31(3):311 View
- Pratap A, Atkins D, Renn B, Tanana M, Mooney S, Anguera J, Areán P. The accuracy of passive phone sensors in predicting daily mood. Depression and Anxiety 2019;36(1):72 View
- Boonstra T, Nicholas J, Wong Q, 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 View
- Castro A, García-Palacios A, García-Campayo J, Mayoral F, Botella C, García-Herrera J, Pérez-Yus M, Vives M, Baños R, 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) View
- 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 View
- McClernon F, 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 View
- 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 View
- Fox E, Beevers C. Differential sensitivity to the environment: contribution of cognitive biases and genes to psychological wellbeing. Molecular Psychiatry 2016;21(12):1657 View
- Narziev N, Goh H, Toshnazarov K, Lee S, Chung K, Noh Y. STDD: Short-Term Depression Detection with Passive Sensing. Sensors 2020;20(5):1396 View
- DURDU AKGÜN B, AKTAÇ A, YORULMAZ O. Ruh Sağlığında Mobil Uygulamalar: Etkinliğe Yönelik Sistematik Bir Gözden Geçirme. Psikiyatride Güncel Yaklaşımlar 2019;11(4):519 View
- 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 View
- 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 View
- 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 View
- Torous J, Powell A. Current research and trends in the use of smartphone applications for mood disorders. Internet Interventions 2015;2(2):169 View
- Mohr D, Zhang M, Schueller S. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. Annual Review of Clinical Psychology 2017;13(1):23 View
- . Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor Analytics. Journal of Psychiatry and Brain Science 2020 View
- DuPaul G, 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 View
- Epstein D, Tyburski M, Kowalczyk W, Burgess-Hull A, Phillips K, Curtis B, Preston K. Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data. npj Digital Medicine 2020;3(1) View
- Darcy A, 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 View
- 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 View
- Brian R, Ben-Zeev D. Mobile health (mHealth) for mental health in Asia: Objectives, strategies, and limitations. Asian Journal of Psychiatry 2014;10:96 View
- Farrington C, Aristidou A, Ruggeri K. mHealth and global mental health: still waiting for the mH2 wedding?. Globalization and Health 2014;10(1):17 View
- Bamberger K. 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 View
- Depp C, Ceglowski J, Wang V, Yaghouti F, Mausbach B, Thompson W, Granholm E. Augmenting psychoeducation with a mobile intervention for bipolar disorder: A randomized controlled trial. Journal of Affective Disorders 2015;174:23 View
- 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) View
- Bardram J, Frost M. The Personal Health Technology Design Space. IEEE Pervasive Computing 2016;15(2):70 View
- Zakaria C, Balan R, Lee Y. StressMon. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
- Ashford R, 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 View
- Huckins J, daSilva A, Wang R, Wang W, Hedlund E, Murphy E, Lopez R, Rogers C, Holtzheimer P, Kelley W, Heatherton T, Wagner D, Haxby J, Campbell A. Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students. Frontiers in Neuroscience 2019;13 View
- W. Adams Z, McClure E, Gray K, Danielson C, Treiber F, Ruggiero K. Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research. Journal of Psychiatric Research 2017;85:1 View
- Rausch J, Hametz P, Zuckerbrot R, Rausch W, Soren K. Screening for Depression in Urban Latino Adolescents. Clinical Pediatrics 2012;51(10):964 View
- Mak W, Chio F, Chan A, Lui W, Wu E. 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 View
- 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 View
- Lee J, Dallery J, Laracuente A, Ibe I, Joseph S, Huo J, Salloum R. A content analysis of free smoking cessation mobile applications in the USA. Journal of Smoking Cessation 2019;14(4):195 View
- Cai L, Boukhechba M, Gerber M, Barnes L, Showalter S, Cohn W, Chow P. An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients. Smart Health 2020;15:100086 View
- 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 View
- 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 View
- Faurholt-Jepsen M, Frost M, Martiny K, Tuxen N, Rosenberg N, Busk J, Winther O, Bardram J, Kessing L. 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) View
- Shatte A, Hutchinson D, Teague S. Machine learning in mental health: a scoping review of methods and applications. Psychological Medicine 2019;49(09):1426 View
- Reinertsen E, Nemati S, Vest A, Vaccarino V, Lampert R, Shah A, Clifford G. Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures. Physiological Measurement 2017;38(6):1061 View
- 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 View
- Ragsdale A, Rotheram-Borus M. Re-shaping HIV Interventions with Technology. AIDS and Behavior 2015;19(S2):77 View
- 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 View
- 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 View
- 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 View
- 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 View
- Bardram J, Matic A. A Decade of Ubiquitous Computing Research in Mental Health. IEEE Pervasive Computing 2020;19(1):62 View
- 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 View
- Hilliard M, Hahn A, Ridge A, Eakin M, Riekert K. User Preferences and Design Recommendations for an mHealth App to Promote Cystic Fibrosis Self-Management. JMIR mHealth and uHealth 2014;2(4):e44 View
- Di Matteo D, Fotinos K, Lokuge S, Yu J, Sternat T, Katzman M, Rose J. The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study. JMIR Formative Research 2020;4(8):e18751 View
- Hung G, 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 View
- McKay J, Gustafson D, Ivey M, McTavish F, Pe-Romashko K, Curtis B, Oslin D, Polsky D, Quanbeck A, Lynch K. 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) View
- Xu X, Chikersal P, Doryab A, Villalba D, Dutcher J, Tumminia M, Althoff T, Cohen S, Creswell K, Creswell J, Mankoff J, Dey A. 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 View
- Lokman S, Leone S, 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 View
- Yim S, Lui L, Lee Y, Rosenblat J, Ragguett R, Park C, Subramaniapillai M, Cao B, Zhou A, Rong C, Lin K, Ho R, Coles A, Majeed A, Wong E, Phan L, Nasri F, McIntyre R. The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders 2020;274:602 View
- 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) View
- Stiles-Shields C, Montague E, Lattie E, Kwasny M, Mohr D. What might get in the way: Barriers to the use of apps for depression. DIGITAL HEALTH 2017;3 View
- 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 View
- 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 View
- Depp C, Kim D, 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 View
- Dicianno B, Parmanto B, Fairman A, Crytzer T, Yu D, Pramana G, Coughenour D, Petrazzi A. Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation. Physical Therapy 2015;95(3):397 View
- Pouliakis A. Third Age and Mobile Health. International Journal of Reliable and Quality E-Healthcare 2019;8(4):67 View
- Dick S, O’Connor Y, Heavin C. Approaches to Mobile Health Evaluation: A Comparative Study. Information Systems Management 2020;37(1):75 View
- Ly K, 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 View
- Juarascio A, Manasse S, Goldstein S, Forman E, Butryn M. Review of Smartphone Applications for the Treatment of Eating Disorders. European Eating Disorders Review 2015;23(1):1 View
- Castro A, López-del-Hoyo Y, Peake C, Mayoral F, Botella C, García-Campayo J, Baños R, Nogueira-Arjona R, Roca M, Gili M. Adherence predictors in an Internet-based Intervention program for depression. Cognitive Behaviour Therapy 2018;47(3):246 View
- 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 View
- 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 View
- Boukhechba M, Daros A, Fua K, Chow P, Teachman B, Barnes L. DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones. Smart Health 2018;9-10:192 View
- Burford S, Park S, Dawda P. Small Data and Its Visualization for Diabetes Self-Management: Qualitative Study. JMIR Diabetes 2019;4(3):e10324 View
- Ramanathan N, Swendeman D, Comulada W, Estrin D, Rotheram-Borus M. 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 View
- 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 View
- Oliver N, Matic A, Frias-Martinez E. Mobile Network Data for Public Health: Opportunities and Challenges. Frontiers in Public Health 2015;3 View
- Angdembe M, Kohrt B, Jordans M, Rimal D, Luitel N. 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) View
- Kirchner T, 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 View
- Otte C, Gold S, Penninx B, Pariante C, Etkin A, Fava M, Mohr D, Schatzberg A. Major depressive disorder. Nature Reviews Disease Primers 2016;2(1) View
- Giota K, Kleftaras G. Mental Health Apps: Innovations, Risks and Ethical Considerations. E-Health Telecommunication Systems and Networks 2014;03(03):19 View
- Reinertsen E, Clifford G. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiological Measurement 2018;39(5):05TR01 View
- 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 View
- 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 View
- Cheng X, Fang L, Hong X, Yang L. Exploiting Mobile Big Data: Sources, Features, and Applications. IEEE Network 2017;31(1):72 View
- 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 View
- Rohani D, Faurholt-Jepsen M, Kessing L, Bardram J. 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 View
- Ghandeharioun A, Azaria A, Taylor S, Picard R. “Kind and Grateful”: A Context-Sensitive Smartphone App Utilizing Inspirational Content to Promote Gratitude. Psychology of Well-Being 2016;6(1) View
- Bastiaansen J, Kunkels Y, Blaauw F, Boker S, Ceulemans E, Chen M, Chow S, de Jonge P, Emerencia A, Epskamp S, Fisher A, Hamaker E, Kuppens P, Lutz W, Meyer M, Moulder R, Oravecz Z, Riese H, Rubel J, Ryan O, Servaas M, Sjobeck G, Snippe E, Trull T, Tschacher W, van der Veen D, Wichers M, Wood P, Woods W, Wright A, Albers C, Bringmann L. 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 View
- Politou E, Alepis E, Patsakis C. A survey on mobile affective computing. Computer Science Review 2017;25:79 View
- 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 View
- Cornet V, Holden R. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120 View
- Mendez D, Sanders S, Karimi H, Gharani P, Rathbun S, Gary-Webb T, Wallace M, Gianakas J, Burke L, Davis E. 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 View
- Hebden L, Cook A, van der Ploeg H, Allman-Farinelli M. Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change. JMIR Research Protocols 2012;1(2):e9 View
- Crookston B, West J, Hall P, Dahle K, Heaton T, Beck R, 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 View
- Fiordelli M, Diviani N, Schulz P. Mapping mHealth Research: A Decade of Evolution. Journal of Medical Internet Research 2013;15(5):e95 View
- Karcher N, Presser N. Ethical and Legal Issues Addressing the Use of Mobile Health (mHealth) as an Adjunct to Psychotherapy. Ethics & Behavior 2018;28(1):1 View
- Majumder S, Deen M. Smartphone Sensors for Health Monitoring and Diagnosis. Sensors 2019;19(9):2164 View
- Jim H, Hoogland A, Brownstein N, Barata A, Dicker A, Knoop H, Gonzalez B, Perkins R, Rollison D, Gilbert S, Nanda R, Berglund A, Mitchell R, Johnstone P. Innovations in research and clinical care using patient‐generated health data. CA: A Cancer Journal for Clinicians 2020;70(3):182 View
- Bachman DeSilva M, Gifford A, Keyi X, Li Z, Feng C, Brooks M, Harrold M, Yueying H, Gill C, 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 View
- Pung A, Fletcher S, Gunn J. Mobile App Use by Primary Care Patients to Manage Their Depressive Symptoms: Qualitative Study. Journal of Medical Internet Research 2018;20(9):e10035 View
- Versluis A, Verkuil B, Spinhoven P, van der Ploeg M, Brosschot J. 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 View
- Fitzpatrick K, 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 View
- NeCamp T, Sen S, Frank E, Walton M, Ionides E, 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 View
- 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 View
- East M, Havard B, Hastings N. 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 View
- 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 View
- 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 View
- Bauer M, Glenn T, Monteith S, Bauer R, Whybrow P, Geddes J. Ethical perspectives on recommending digital technology for patients with mental illness. International Journal of Bipolar Disorders 2017;5(1) View
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- Mendes J, Moura I, Van de Ven P, Viana D, Silva F, Coutinho L, Teixeira S, Rodrigues J, Teles A. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735 View
- 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 View
- Kamath J, Barriera R, Jain N, Keisari E, Wang B. Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives. World Journal of Psychiatry 2022;12(3):393 View
- 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 View
- Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy J, 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) View
- Khare M, Zimmermann K, Lyons R, Locklin C, Gerber B. Feasibility of promoting physical activity using mHEALTH technology in rural women: the step-2-it study. BMC Women's Health 2021;21(1) View
- Safiee L, Rough D, 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 View
- De Angel V, Lewis S, White K, Oetzmann C, Leightley D, Oprea E, Lavelle G, Matcham F, Pace A, Mohr D, Dobson R, Hotopf M. Digital health tools for the passive monitoring of depression: a systematic review of methods. npj Digital Medicine 2022;5(1) View
- 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 View
- 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 View
- Leertouwer I, Cramer A, Vermunt J, Schuurman N. A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on Self-Report EMA Data. Frontiers in Psychology 2021;12 View
- Rohani D, Faurholt-Jepsen M, Kessing L, Bardram J. Benefits of Using Activity Recommender Technology for Self-management of Depressive Symptoms. ACM Transactions on Computing for Healthcare 2021;2(4):1 View
- 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 View
- Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson N. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1) View
- 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 View
- Torous J, Bucci S, Bell I, Kessing L, Faurholt‐Jepsen M, Whelan P, Carvalho A, 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 View
- Liu Y, Kang K, Doe M. HADD: High-Accuracy Detection of Depressed Mood. Technologies 2022;10(6):123 View
- Christopoulou S. Impacts on Context Aware Systems in Evidence-Based Health Informatics: A Review. Healthcare 2022;10(4):685 View
- 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 View
- Buda T, Guerreiro J, Omana Iglesias J, Castillo C, Smith O, Matic A. Foundations for fairness in digital health apps. Frontiers in Digital Health 2022;4 View
- 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 View
- Tag B, Sarsenbayeva Z, Cox A, 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 View
- Bonilla-Escribano P, Ramirez D, Sedano-Capdevila A, Campana-Montes J, 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 View
- Rahmani A, Lai J, Jafarlou S, Azimi I, Yunusova A, Rivera A, Labbaf S, Anzanpour A, Dutt N, Jain R, Borelli J. 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 View
- Lekkas D, Price G, McFadden J, Jacobson N. The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment. Mindfulness 2021;12(10):2519 View
- Eghdami S, Ahmadkhaniha H, Baradaran H, Hirbod-Mobarakeh A. Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis. Social Psychiatry and Psychiatric Epidemiology 2023;58(10):1431 View
- Shin J, Bae S. A Systematic Review of Location Data for Depression Prediction. International Journal of Environmental Research and Public Health 2023;20(11):5984 View
- 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 View
- Abdallah S, Khalil A. Using a hybrid methodology for literature review: a case study in depression research. Information Discovery and Delivery 2024;52(3):305 View
- 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 2024;40(19):5857 View
- 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) View
- Wang Z, Larrazabal M, Rucker M, Toner E, Daniel K, Kumar S, Boukhechba M, Teachman B, Barnes L. 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 View
- Forbes A, Keleher M, 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 View
- Zon M, Ganesh G, Deen M, 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 View
- Frank A, Li R, Peterson B, Narayanan S. Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review. JMIR Mental Health 2023;10:e45572 View
- Darharaj M, Roshanpajouh M, Amini M, Shrier L, 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 View
- Gaidai A, Kadyrov R, Kapustina T. Mobile Apps for mental health: Literature review. Психолог 2023;(5):100 View
- Kulikov V, Crosthwaite P, Hall S, Flannery J, Strauss G, Vierra E, Koepsell X, Lake J, 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 View
- Giannopoulou P, Vrahatis A, 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 View
- Pozuelo J, Moffett B, Davis M, Stein A, Cohen H, Craske M, Maritze M, Makhubela P, Nabulumba C, Sikoti D, Kahn K, Sodi T, van Heerden A, O’Mahen H. 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 View
- 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 View
- M V, GNK G, D R, T V, Rao G. Neuro Receptor Signal Detecting and Monitoring Smart Devices for Biological Changes in Cognitive Health Conditions. Annals of Neurosciences 2024;31(3):225 View
- Bell I, Lim M, Rossell S, Thomas N. Ecological Momentary Assessment and Intervention in the Treatment of Psychotic Disorders: A Systematic Review. Psychiatric Services 2017;68(11):1172 View
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- 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) View
- Zhou S, Levinson A, Zhang X, Portz J, Moore S, Gore M, Ford K, 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 View
- Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy J, 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) View
- Killian J, 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 View
- Zafar F, Fakhare Alam L, Vivas R, Wang J, Whei S, Mehmood S, Sadeghzadegan A, Lakkimsetti M, Nazir Z. The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review. Cureus 2024 View
- González Bermúdez A, Carramiñana D, Bernardos A, Bergesio L, Besada J. A fusion architecture to deliver multipurpose mobile health services. Computers in Biology and Medicine 2024;173:108344 View
- Brännström A, Nieves J. Towards control in agents for human behavior change: an autism case. Journal of Intelligent & Fuzzy Systems 2024:1 View
- Alikhanov J, Zhang P, Noh Y, Kim H. Design of Contextual Filtered Features for Better Smartphone-User Receptivity Prediction. IEEE Internet of Things Journal 2024;11(7):11707 View
- Kataria A, Desai R, Kapadia H, Patel R, Maru A, Shah B, Pandya D. SENTI Aid: Sentiment Analysis on Personal Relations and Aiding Mental Health. International Journal of Innovative Science and Research Technology (IJISRT) 2024:1699 View
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- Postma M, Vrancken S, Daemen M, Meulen I, Volbragt N, Delespaul P, Haan L, Pluijm M, Breedvelt J, Gaag M, Lindauer R, Berg D, Bockting C, Amelsvoort T, Schwannauer M, Doi L, Reininghaus U. Working mechanisms of the use and acceptability of ecological momentary interventions: a realist evaluation of a guided self-help ecological momentary intervention targeting self-esteem. BMC Public Health 2024;24(1) View
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- Pour Rezaei P, Jokela T, Vetek A, Salmimaa M. Informing the Design of Intervention Solutions for Body-Focused Repetitive Behaviors. Proceedings of the ACM on Human-Computer Interaction 2024;8(MHCI):1 View
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Books/Policy Documents
- Bardram J, Frost M. Designing Healthcare That Works. View
- Pouliakis A, Archondakis S, Margari N, Karakitsos P. M-Health Innovations for Patient-Centered Care. View
- Pouliakis A, Margari N, Karakitsou E, Archondakis S, Karakitsos P. Emerging Developments and Practices in Oncology. View
- Parks A. Positive Psychology in Practice. View
- Laranjo L, Lau A, Coiera E. Cognitive Informatics in Health and Biomedicine. View
- Duarte J. The Wiley Blackwell Handbook of Positive Psychological Interventions. View
- Colombo D, Suso-Ribera C, Fernández-Álvarez J, Cipresso P, García-Palacios A, Riva G, Botella C. Comprehensive Clinical Psychology. View
- Musyimi C, Lai Y, Mutiso V, Ndetei D. Innovations in Global Mental Health. View
- Rajagopalan A, Ho R. Major Depressive Disorder. View
- Pedrelli P, Bentley K, Howe E, Shapero B. The Massachusetts General Hospital Guide to Depression. View
- Tamposis I, Pouliakis A, Fezoulidis I, Karakitsos P. M-Health Innovations for Patient-Centered Care. View
- Jacob M, Storch E. Mental Health Practice in a Digital World. View
- Yang P, Chang C, Chen Y, Chiang J, Hung G. Health Information Science. View
- Doryab A. Technology and Adolescent Mental Health. View
- Pouliakis A, Karakitsou E, Margari N. Mobile Health Applications for Quality Healthcare Delivery. View
- Saad A. Complex, Intelligent, and Software Intensive Systems. View
- Fang Y, Mao R. Depressive Disorders: Mechanisms, Measurement and Management. View
- Aranki D, Kurillo G, Bajcsy R. Handbook of Large-Scale Distributed Computing in Smart Healthcare. View
- Kellmeyer P. Machine Learning. View
- Manațe B, Fortiş F, Moore P. Securing the Internet of Things. View
- Becker D. Advances in Information and Communication Networks. View
- Apolinário-Hagen J, Fritsche L, Albers L, Salewski C. Treatment Resistance in Psychiatry. View
- Tuena C, Chiappini M, Repetto C, Riva G. Comprehensive Clinical Psychology. View
- Koumpouros Y, Georgoulas A. Mobile Health Applications for Quality Healthcare Delivery. View
- Campise R, Kinn J, Cooper D. Handbook of Military Psychology. View
- Lee H, Cho A, Jo Y, Whang M. Advances in Computer Science and Ubiquitous Computing. View
- Brown C, Mason W, Brown E. Defining Prevention Science. View
- Wang R, Chen F, Chen Z, Li T, Harari G, Tignor S, Zhou X, Ben-Zeev D, Campbell A. Mobile Health. View
- Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
- Stütz T, Kowar T, Kager M, Tiefengrabner M, Stuppner M, Blechert J, Wilhelm F, Ginzinger S. User Modeling, Adaptation and Personalization. View
- Chan S, Torous J, Hinton L, Yellowlees P. e-Mental Health. View
- Kauer S, Reid S. Encyclopedia of Mobile Phone Behavior. View
- Piwek L, Joinson A. Behavior Change Research and Theory. View
- Vailati Riboni F, Pagnini F. Comprehensive Clinical Psychology. View
- Ferguson S, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. View
- Pouliakis A, Archondakis S, Margari N, Karakitsos P. Data Analytics in Medicine. View
- Luxton D, June J, Sano A, Bickmore T. Artificial Intelligence in Behavioral and Mental Health Care. View
- Tamposis I, Pouliakis A, Fezoulidis I, Karakitsos P. Medical Imaging. View
- Konrath S. Encyclopedia of Mobile Phone Behavior. View
- Iyawa G, Langan-Martin J, Sevalie S, Masikara W. Impacts of Information Technology on Patient Care and Empowerment. View
- . The Cambridge Handbook of Research Methods in Clinical Psychology. View
- Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. View
- Hegerl U, Dogan E, Oehler C, Sander C, Stöber F. Gesundheit digital. View
- Zhang R, Kornfield R. The International Encyclopedia of Media Psychology. View
- Burns M, Mohr D. Encyclopedia of Behavioral Medicine. View
- 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. View
- Pouliakis A, Margari N, Karakitsou E, Archondakis S, Karakitsos P. Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. View
- Iyawa G, Langan-Martin J, Sevalie S, Masikara W. Research Anthology on Mental Health Stigma, Education, and Treatment. View
- Vaid S, Abdullah S, Thomaz E, Harari G. Measuring and Modeling Persons and Situations. View
- Mao S, Khalifa Y, Zhang Z, Shu K, Suri A, Bouzid Z, Sejdic E. Digital Health. View
- Sulaiman M, Håkansson A, Karlsen R. ICT for Health, Accessibility and Wellbeing. View
- Ahmed M, Zubair S. Explainable Artificial Intelligence for Cyber Security. View
- Marchionatti L, Mastella N, Bouvier V, Passos I. Digital Mental Health. View
- Tugade M, Tan T, Wachsmuth L, Bradley E. The Cambridge Handbook of Community Psychology. View
- Musyimi C, Lai Y, Mutiso V, Ndetei D. Innovations in Global Mental Health. View
- Pramanik H, Pal A, Kirtania M, Chakravarty T, Ghose A. Smartphone-Based Detection Devices. View
- Koumpouros Y, Georgoulas A. M-Health Innovations for Patient-Centered Care. View
- . The Cambridge Handbook of Community Psychology. View
- Llera S, Shin K, Erickson T, Przeworski A, Newman M. Comprehensive Clinical Psychology. View
- Koumpouros Y, Georgoulas A. Gaming and Technology Addiction. View
- Christopoulou S. Digital Identity in the New Era of Personalized Medicine. View
- Harrer M, Terhorst Y, Baumeister H, Ebert D. Digitale Gesundheitsinterventionen. View
- Collecchia G, De Gobbi R. AI in Clinical Practice. View
- Chan G, Alslaity A, Wilson R, Rajeshsingh P, Orji R. Intelligent Systems and Applications. View
- Cho C, Lee H, Kim Y. Recent Advances and Challenges in the Treatment of Major Depressive Disorder. View