This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (227) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1802) Wearable Devices and Sensors (993) mHealth for Wellness, Behavior Change and Prevention (3096) Mobile Devices and Apps for Seniors and Healthy Aging (214) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (116) Internet of Things (87) Depression and Mood Disorders; Suicide Prevention (1514)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55842, first published .
Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study

Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study

Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study

Authors of this article:

Sunmi Song1, 2, 3 Author Orcid Image ;   YoungBin Seo4, 5 Author Orcid Image ;   SeoYeon Hwang3, 5 Author Orcid Image ;   Hae-Young Kim3, 4, 5, 6 Author Orcid Image ;   Junesun Kim1, 2, 3, 5 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Luo Y, Wang J, Gan G, Liu M, Lu Z, Jia S, Huang M, Wang S, Gan M, Xie J, Cheng A. Effectiveness of digital modified behavioral activation treatment program for rural older adults with depressive symptoms in Western Hunan: study protocol for a multi-center randomized controlled trial. BMC Psychology 2024;12(1) View
  2. Heckler W, Feijó L, de Carvalho J, Barbosa J. Digital phenotyping for mental health based on data analytics: A systematic literature review. Artificial Intelligence in Medicine 2025;163:103094 View
  3. Nejadshamsi S, Karami V, Ghourchian N, Armanfard N, Bergman H, Grad R, Wilchesky M, Khanassov V, Vedel I, Abbasgholizadeh Rahimi S. Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study. JMIR Aging 2025;8:e67715 View
  4. de Sousa R, Zagalo D, Costa T, de Almeida J, Canhão H, Rodrigues A. Exploring depression in adults over a decade: a review of longitudinal studies. BMC Psychiatry 2025;25(1) View

Books/Policy Documents

  1. Thirupathi L, Kaashipaka V, Dhanaraju M, Katakam V. Intelligent Systems and IoT Applications in Clinical Health. View

Conference Proceedings

  1. Jin S, Kim B, Han K. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. "I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health View