Published on in Vol 19, No 7 (2017): July
Journals
- Yang Y, Ryu G, Park C, Yeom I, Shim K, Choi M. Mood and Stress Evaluation of Adult Patients With Moyamoya Disease in Korea: Ecological Momentary Assessment Method Using a Mobile Phone App. JMIR mHealth and uHealth 2020;8(5):e17034 View
- Magee J, Adut S, Brazill K, Warnick S. Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care. Current Treatment Options in Psychiatry 2018;5(3):345 View
- khan Z, Alotaibi S. Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective. Journal of Healthcare Engineering 2020;2020:1 View
- Dhainaut J, Huot L, Bouchara Pomar V, Dubray C, Augé P, Barthélémy P, Belghiti J, Bureau S, Cassagnes J, Deblois S, Di Palma M, Dorsay G, Duchossoy L, Durand-Salmon F, Escudier T, Fiorini M, Franc S, Gelpi O, Laporte S, Lavallée E, Lethiec F, Meunier J, Peyret O, Samalin L, Vicaut E, de Saint-Exupéry E, Bouley A. Utilisation des objets connectés en recherche clinique. Therapies 2018;73(1):41 View
- Faurholt-Jepsen M, Bauer M, Kessing L. Smartphone-based objective monitoring in bipolar disorder: status and considerations. International Journal of Bipolar Disorders 2018;6(1) View
- Yang Y, Ryu G, Choi M. Methodological Strategies for Ecological Momentary Assessment to Evaluate Mood and Stress in Adult Patients Using Mobile Phones: Systematic Review. JMIR mHealth and uHealth 2019;7(4):e11215 View
- Van Meter A, Birnbaum M, Rizvi A, Kane J. Online help-seeking prior to diagnosis: Can web-based resources reduce the duration of untreated mood disorders in young people?. Journal of Affective Disorders 2019;252:130 View
- Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Mobile Health to Support Ageing in Place. International Journal of E-Health and Medical Communications 2019;10(3):1 View
- 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 View
- Tønning M, Kessing L, Bardram J, Faurholt-Jepsen M. Methodological Challenges in Randomized Controlled Trials on Smartphone-Based Treatment in Psychiatry: Systematic Review. Journal of Medical Internet Research 2019;21(10):e15362 View
- Matcham F, Barattieri di San Pietro C, Bulgari V, de Girolamo G, Dobson R, Eriksson H, Folarin A, Haro J, Kerz M, Lamers F, Li Q, Manyakov N, Mohr D, Myin-Germeys I, Narayan V, BWJH P, Ranjan Y, Rashid Z, Rintala A, Siddi S, Simblett S, Wykes T, Hotopf M. Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol. BMC Psychiatry 2019;19(1) View
- Tazawa Y, Wada M, Mitsukura Y, Takamiya A, Kitazawa M, Yoshimura M, Mimura M, Kishimoto T. Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis. Journal of Affective Disorders 2019;253:257 View
- de la Cámara C, Lobo A. The assessment of self-esteem: a psychiatric perspective. International Psychogeriatrics 2020;32(2):161 View
- Lorenz N, Spada J, Sander C, Riedel-Heller S, Hegerl U. Circadian skin temperature rhythms, circadian activity rhythms and sleep in individuals with self-reported depressive symptoms. Journal of Psychiatric Research 2019;117:38 View
- Scherr S, Goering M. Is a Self-Monitoring App for Depression a Good Place for Additional Mental Health Information? Ecological Momentary Assessment of Mental Help Information Seeking among Smartphone Users. Health Communication 2020;35(8):1004 View
- Lewczuk K, Gorowska M, Li Y, Gola M. Mobile Internet Technologies, Ecological Momentary Assessment, and Intervention—Poison and Remedy for New Online Problematic Behaviors in ICD-11. Frontiers in Psychiatry 2020;11 View
- Yang Y, Ryu G, Delespaul P, Choi M. Psychometric Properties of the Korean Version of the PsyMate Scale Using a Smartphone App: Ecological Momentary Assessment Study. JMIR mHealth and uHealth 2020;8(7):e17926 View
- Berrouiguet S, Le Moal V, Guillodo É, Le Floch A, Lenca P, Billot R, Walter M. Prévention du suicide et santé connectée. médecine/sciences 2018;34(8-9):730 View
- Leonard N, Casarjian B, Fletcher R, Prata C, Sherpa D, Kelemen A, Rajan S, Salaam R, Cleland C, Gwadz M. Theoretically-Based Emotion Regulation Strategies Using a Mobile App and Wearable Sensor Among Homeless Adolescent Mothers: Acceptability and Feasibility Study. JMIR Pediatrics and Parenting 2018;1(1):e1 View
- Tazawa Y, Liang K, Yoshimura M, Kitazawa M, Kaise Y, Takamiya A, Kishi A, Horigome T, Mitsukura Y, Mimura M, Kishimoto T. Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning. Heliyon 2020;6(2):e03274 View
- Jungmann S, Klan T, Kuhn S, Jungmann F. Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users. JMIR Formative Research 2019;3(4):e13863 View
- Kim J, Nguyen T, Gipson S, Shin A, Torous J. Smartphone Apps for Autism Spectrum Disorder—Understanding the Evidence. Journal of Technology in Behavioral Science 2018;3(1):1 View
- Berrouiguet S, Barrigón M, Castroman J, Courtet P, Artés-Rodríguez A, Baca-García E. Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol. BMC Psychiatry 2019;19(1) View
- Baldofski S, Kohls E, Bauer S, Becker K, Bilic S, Eschenbeck H, Kaess M, Moessner M, Salize H, Diestelkamp S, Voß E, Rummel-Kluge C. Efficacy and cost-effectiveness of two online interventions for children and adolescents at risk for depression (E.motion trial): study protocol for a randomized controlled trial within the ProHEAD consortium. Trials 2019;20(1) View
- Bakker D, Rickard N. Engagement with a cognitive behavioural therapy mobile phone app predicts changes in mental health and wellbeing: MoodMission. Australian Psychologist 2019;54(4):245 View
- Fernández-Sotos P, Fernández-Caballero A, González P, Aparicio A, Martínez-Gras I, Torio I, Dompablo M, García-Fernández L, Santos J, Rodriguez-Jimenez R. Digital Technology for Internet Access by Patients With Early-Stage Schizophrenia in Spain: Multicenter Research Study. Journal of Medical Internet Research 2019;21(4):e11824 View
- Yin H, Wardenaar K, Wang Y, Wang N, Chen W, Zhang Y, Xu G, Schoevers R. Mobile Mental Health Apps in China: Systematic App Store Search. Journal of Medical Internet Research 2020;22(7):e14915 View
- Ernst J, Broemer L. Digital unterstützte Modelle in der Patientenbeobachtung. Forum 2018;33(3):190 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
- Sequeira L, Battaglia M, Perrotta S, Merikangas K, Strauss J. Digital Phenotyping With Mobile and Wearable Devices: Advanced Symptom Measurement in Child and Adolescent Depression. Journal of the American Academy of Child & Adolescent Psychiatry 2019;58(9):841 View
- . Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor Analytics. Journal of Psychiatry and Brain Science 2020 View
- Jacobson N, 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 View
- Spinazze P, Rykov Y, Bottle A, Car J. Digital phenotyping for assessment and prediction of mental health outcomes: a scoping review protocol. BMJ Open 2019;9(12):e032255 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
- Gründahl M, Deckert J, Hein G. Three Questions to Consider Before Applying Ecological Momentary Interventions (EMI) in Psychiatry. Frontiers in Psychiatry 2020;11 View
- Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
- Jawad I, Watson S, Haddad P, Talbot P, McAllister-Williams R. Medication nonadherence in bipolar disorder: a narrative review. Therapeutic Advances in Psychopharmacology 2018;8(12):349 View
- Sequeira L, Perrotta S, LaGrassa J, Merikangas K, Kreindler D, Kundur D, Courtney D, Szatmari P, Battaglia M, Strauss J. Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: A scoping review. Journal of Affective Disorders 2020;265:314 View
- Torous J, Larsen M, Depp C, Cosco T, Barnett I, Nock M, Firth J. Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps. Current Psychiatry Reports 2018;20(7) View
- Hidalgo-Mazzei D, Llach C, Vieta E. mHealth in affective disorders: hype or hope? A focused narrative review. International Clinical Psychopharmacology 2020;35(2):61 View
- Dhainaut J, Huot L, Pomar V, Dubray C, Augé P, Barthélémy P, Belghiti J, Bureau S, Cassagnes J, Deblois S, Di Palma M, Dorsay G, Duchossoy L, Durand-Salmon F, Escudier T, Fiorini M, Franc S, Gelpi O, Laporte S, Lavallée E, Lethiec F, Meunier J, Peyret O, Samalin L, Vicaut E, de Saint-Exupéry E, Bouley A. Using connected objects in clinical research. Therapies 2018;73(1):53 View
- Bardram J, Matic A. A Decade of Ubiquitous Computing Research in Mental Health. IEEE Pervasive Computing 2020;19(1):62 View
- Trifan A, Oliveira M, Oliveira J. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mHealth and uHealth 2019;7(8):e12649 View
- Schmand B. Why are neuropsychologists so reluctant to embrace modern assessment techniques?. The Clinical Neuropsychologist 2019;33(2):209 View
- Hartmann R, Sander C, Lorenz N, Böttger D, Hegerl U. Utilization of Patient-Generated Data Collected Through Mobile Devices: Insights From a Survey on Attitudes Toward Mobile Self-Monitoring and Self-Management Apps for Depression. JMIR Mental Health 2019;6(4):e11671 View
- Antosik-Wójcinska A, Chojnacka M, Dominiak M, Święcicki Ł. The use of smartphones in the management of bipolar disorder- mobile apps and voice analysis in monitoring of mental state and phase change detection. European Neuropsychopharmacology 2019;29:S528 View
- Goltermann J, Emden D, Leehr E, Dohm K, Redlich R, Dannlowski U, Hahn T, Opel N. Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study. JMIR Mental Health 2021;8(1):e24333 View
- Hilty D, Armstrong C, Edwards-Stewart A, Gentry M, Luxton D, Krupinski E. Sensor, Wearable, and Remote Patient Monitoring Competencies for Clinical Care and Training: Scoping Review. Journal of Technology in Behavioral Science 2021;6(2):252 View
- 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) View
- Miley E, Schaeffler F, Beck J, Eichner M, Jannetts S. Secure account-based data capture with smartphones – preliminary results from a study of articulatory precision in clinical depression. Linguistics Vanguard 2021;7(s1) View
- Rabin J, Davidson B, Giacobbe P, Hamani C, Cohn M, Illes J, Lipsman N. Neuromodulation for major depressive disorder: innovative measures to capture efficacy and outcomes. The Lancet Psychiatry 2020;7(12):1075 View
- Morton E, Torous J, Murray G, Michalak E. Using apps for bipolar disorder – An online survey of healthcare provider perspectives and practices. Journal of Psychiatric Research 2021;137:22 View
- Maatoug R, Peiffer-Smadja N, Delval G, Brochu T, Pitrat B, Millet B. Ecological Momentary Assessment Using Smartphones in Patients With Depression: Feasibility Study. JMIR Formative Research 2021;5(2):e14179 View
- Hilty D, Armstrong C, Luxton D, Gentry M, Krupinski E. 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 View
- Izumi K, Minato K, Shiga K, Sugio T, Hanashiro S, Cortright K, Kudo S, Fujita T, Sado M, Maeno T, Takebayashi T, Mimura M, Kishimoto T. Unobtrusive Sensing Technology for Quantifying Stress and Well-Being Using Pulse, Speech, Body Motion, and Electrodermal Data in a Workplace Setting: Study Concept and Design. Frontiers in Psychiatry 2021;12 View
- 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 View
- Müller L, De Rooy D. Digital biomarkers for the prediction of mental health in aviation personnel. BMJ Health & Care Informatics 2021;28(1):e100335 View
- Tonti S, Marzolini B, Bulgheroni M. Smartphone-Based Passive Sensing for Behavioral and Physical Monitoring in Free-Life Conditions: Technical Usability Study. JMIR Biomedical Engineering 2021;6(2):e15417 View
- Emden D, Goltermann J, Dannlowski U, Hahn T, Opel N. Technical feasibility and adherence of the Remote Monitoring Application in Psychiatry (ReMAP) for the assessment of affective symptoms. Journal of Affective Disorders 2021;294:652 View
- Scotti Requena S, Sterling M, Elphinston R, Ritchie C, Robins S, R Armfield N. Development and use of mobile messaging for individuals with musculoskeletal pain conditions: a scoping review protocol. BMJ Open 2021;11(7):e048964 View
- Tønning M, Faurholt-Jepsen M, Frost M, Bardram J, Kessing L. Mood and Activity Measured Using Smartphones in Unipolar Depressive Disorder. Frontiers in Psychiatry 2021;12 View
- Flanagan O, Chan A, Roop P, Sundram F. Using Acoustic Speech Patterns From Smartphones to Investigate Mood Disorders: Scoping Review. JMIR mHealth and uHealth 2021;9(9):e24352 View
- Folkersma W, Veerman V, Ornée D, Oldehinkel A, Alma M, Bastiaansen J. Patients' experience of an ecological momentary intervention involving self-monitoring and personalized feedback for depression. Internet Interventions 2021;26:100436 View
- Orsolini L, Pompili S, Salvi V, Volpe U. A Systematic Review on TeleMental Health in Youth Mental Health: Focus on Anxiety, Depression and Obsessive-Compulsive Disorder. Medicina 2021;57(8):793 View
- Rashid M, Askari M, Chen C, Liang Y, Shu K, Cinar A. Artificial Intelligence Algorithms for Treatment of Diabetes. Algorithms 2022;15(9):299 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
- 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
- Nunes Vilaza G, Coyle D, Bardram J. Public Attitudes to Digital Health Research Repositories: Cross-sectional International Survey. Journal of Medical Internet Research 2021;23(10):e31294 View
- Wang Y, Lyu H, Tian X, Lang B, Wang X, St Clair D, Wu R, Zhao J. The similar eye movement dysfunction between major depressive disorder, bipolar depression and bipolar mania. The World Journal of Biological Psychiatry 2022;23(9):689 View
- Eisner E, Berry N, Morris R, Emsley R, Haddock G, Machin M, Hassan L, Bucci S. Exploring engagement with the CBT-informed Actissist smartphone application for early psychosis. Journal of Mental Health 2023;32(3):643 View
- Eagle T, Mehrotra A, Sharma A, Zuniga A, Whittaker S. "Money Doesn't Buy You Happiness": Negative Consequences of Using the Freemium Model for Mental Health Apps. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 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
- White K, Williamson C, Bergou N, Oetzmann C, de Angel V, Matcham F, Henderson C, Hotopf M. A systematic review of engagement reporting in remote measurement studies for health symptom tracking. npj Digital Medicine 2022;5(1) View
- Singh M, Malmon A, Horne L, Felten O. Addressing burgeoning unmet needs in college mental health. Journal of American College Health 2024;72(9):3070 View
- Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
- Chiauzzi E, Wicks P. Beyond the Therapist’s Office: Merging Measurement-Based Care and Digital Medicine in the Real World. Digital Biomarkers 2021;5(2):176 View
- Splinter B, Saadah N, Chavannes N, Kiefte-de Jong J, Aardoom J. Optimizing the Acceptability, Adherence, and Inclusiveness of the COVID Radar Surveillance App: Qualitative Study Using Focus Groups, Thematic Content Analysis, and Usability Testing. JMIR Formative Research 2022;6(9):e36003 View
- Balcombe L, De Leo D. Human-Computer Interaction in Digital Mental Health. Informatics 2022;9(1):14 View
- Neumayr C, Voderholzer U, Schlegl S. Psych-APP-Therapie: Smartphonebasierte Interventionen in der Psychotherapie – Eine systematische Übersichtsarbeit. Verhaltenstherapie 2021;31(3):182 View
- Rifkin-Zybutz R, Turner N, Derges J, Bould H, Sedgewick F, Gooberman-Hill R, Linton M, Moran P, Biddle L. Digital Technology Use and Mental Health Consultations: Survey of the Views and Experiences of Clinicians and Young People. JMIR Mental Health 2023;10:e44064 View
- Gopalakrishnan A, Venkataraman R, Gururajan R, Zhou X, Genrich R. Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review. PeerJ Computer Science 2022;8:e1042 View
- Rohani D, Springer A, Hollis V, Bardram J, Whittaker S. Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Transactions on Emerging Topics in Computing 2021;9(3):1183 View
- Tseng Y, Lin E, Wu C, Huang H, Chen P. Associations among smartphone app-based measurements of mood, sleep and activity in bipolar disorder. Psychiatry Research 2022;310:114425 View
- Rubeis G. iHealth: The ethics of artificial intelligence and big data in mental healthcare. Internet Interventions 2022;28:100518 View
- Badesha K, Wilde S, Dawson D. Mental health mobile app use to manage psychological difficulties: an umbrella review. Mental Health Review Journal 2022;27(3):241 View
- Highland D, Zhou G. A review of detection techniques for depression and bipolar disorder. Smart Health 2022;24:100282 View
- Langener A, Stulp G, Kas M, Bringmann L. Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review. JMIR Mental Health 2023;10:e42646 View
- de Angel V, Lewis S, White K, Matcham F, Hotopf M. Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians. JMIR Mental Health 2022;9(8):e38934 View
- Kishimoto T, Kinoshita S, Kikuchi T, Bun S, Kitazawa M, Horigome T, Tazawa Y, Takamiya A, Hirano J, Mimura M, Liang K, Koga N, Ochiai Y, Ito H, Miyamae Y, Tsujimoto Y, Sakuma K, Kida H, Miura G, Kawade Y, Goto A, Yoshino F. Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol. Frontiers in Psychiatry 2022;13 View
- Senaratne H, Oviatt S, Ellis K, Melvin G. A Critical Review of Multimodal-multisensor Analytics for Anxiety Assessment. ACM Transactions on Computing for Healthcare 2022;3(4):1 View
- MOUKADDAM N, TRUONG A, CAO J, SHAH A, SABHARWAL A. Findings From a Trial of the Smartphone and OnLine Usage-based eValuation for Depression (SOLVD) Application: What Do Apps Really Tell Us About Patients with Depression? Concordance Between App-Generated Data and Standard Psychiatric Questionnaires for Depression and Anxiety. Journal of Psychiatric Practice 2019;25(5):365 View
- Jacobson N, Bhattacharya S. Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments. Behaviour Research and Therapy 2022;149:104013 View
- Kim J, Wang B, Kim M, Lee J, Kim H, Roh D, Lee K, Hong S, Lim J, Kim J, Ryan N. Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study. JMIR Formative Research 2023;7:e45991 View
- Arora V, Sahoo J, Gupta M, Joshi A. Aiding clinical decision-making at the individual and community level using mobile sensor data – A study protocol for an experimental design (Preprint). JMIR Research Protocols 2022 View
- Khozouie N, Malekhoseini R. Pregnancy healthcare monitoring system: A review. Smart Health 2024;31:100433 View
- Punturieri C, Duncan W, Greenstein D, Shandler G, Zarate C, Evans J. An exploration of actigraphy in the context of ketamine and treatment‐resistant depression. International Journal of Methods in Psychiatric Research 2024;33(1) 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
- Yao X, Ma S, Wu Y, Li D. So said, so done? The role of commitment in activity-based check-in discontinuance on APPs. Technological Forecasting and Social Change 2023;194:122675 View
- Nghiem J, Adler D, Estrin D, Livesey C, Choudhury T. Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study. JMIR Formative Research 2023;7:e47380 View
- Maccaro A, Pagliara S, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem M, Pecchia L. Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support. Scientific Reports 2023;13(1) View
- Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
- Walsh A, Naughton G, Sharpe T, Zajkowska Z, Malys M, van Heerden A, Mondelli V. A collaborative realist review of remote measurement technologies for depression in young people. Nature Human Behaviour 2024;8(3):480 View
- Wang B, Li M, Haihambo N, Qiu Z, Sun M, Guo M, Zhao X, Han C. Characterizing Major Depressive Disorder (MDD) using alpha-band activity in resting-state electroencephalogram (EEG) combined with MATRICS Consensus Cognitive Battery (MCCB). Journal of Affective Disorders 2024;355:254 View
- Lee J, Kim M, Hwang S, Lee K, Park J, Shin T, Lim H, Urtnasan E, Chung M, Lee J. Developing prediction algorithms for late-life depression using wearable devices: a cohort study protocol. BMJ Open 2024;14(6):e073290 View
- Shin J, Bae S. Use of voice features from smartphones for monitoring depressive disorders: Scoping review. DIGITAL HEALTH 2024;10 View
- Ng M, Frederick J, Fisher A, Allen N, Pettit J, McMakin D. Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study. JMIR Research Protocols 2024;13:e43931 View
- Jilka S, Giacco D. Digital phenotyping: how it could change mental health care and why we should all keep up. Journal of Mental Health 2024;33(4):439 View
- Edler J, Winter M, Steinmetz H, Cohrdes C, Baumeister H, Pryss R. Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional Study. Interactive Journal of Medical Research 2024;13:e53248 View
- Davies L, LeClair K, Bagley P, Blunt H, Hinton L, Ryan S, Ziebland S. Face-to-Face Compared With Online Collected Accounts of Health and Illness Experiences: A Scoping Review. Qualitative Health Research 2020;30(13):2092 View
- Patterson Silver Wolf D. A COVID-19 Level Overreaction Is Needed for Substance Use Disorder Treatment: The Future Is Mobile. Research on Social Work Practice 2020;30(7):712 View
- Arora V, Mishra S, Joshi A, Singhal M, Sahoo J. Aiding Clinical Decision-Making at the Individual and Community Level Using Mobile Sensor Data: Study Protocol for an Experimental Design. Cureus 2024 View
- Jordan P, Troth A, Yan H. Objective and subjective measurement in applied business settings: Improving research in organizations. Australian Journal of Management 2024 View
Books/Policy Documents
- Hegerl U, Dogan E, Oehler C, Sander C, Stöber F. Gesundheit digital. View
- Rozgonjuk D, Elhai J, Hall B. Digital Phenotyping and Mobile Sensing. View
- Spedding M, Chibanda D. Global Mental Health and Psychotherapy. View
- Fernandez-Álvarez J, Díaz-García A, Colombo D, Botella C, Cipresso P, Riva G. Comprehensive Clinical Psychology. View
- Rozgonjuk D, Elhai J, Hall B. Digital Phenotyping and Mobile Sensing. View
- Briffault X. Traité de bioéthique. View
- Kolenik T. Integrating Artificial Intelligence and IoT for Advanced Health Informatics. View
- Anmella G, Hidalgo-Mazzei D, Vieta E. Digital Mental Health. View
- Sammouri W, Hamdan A, Sataloff R, Hawkshaw M. Traits of Civilization and Voice Disorders. View
- Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Research Anthology on Supporting Healthy Aging in a Digital Society. View
- Guerrache F, Brown D, Mahmud M. Applied Intelligence and Informatics. View