Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

Kim, Heejung, Lee, SungHee, Lee, SangEun, Hong, Soyun, Kang, HeeJae, Kim, Namhee·2019·JMIR mHealth and uHealth
DOI 10.2196/14149

Cited by (131)

Items 101–131 of 131

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  6. Features of wearable devices used for Anxiety & Depression: A scoping review (Preprint)
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  10. Use of the time-based experience sampling method in older adults: a systematic review of studies between 2007-2022 and recommendations for future research
    Judith Elisabeth Appel, Jelena Vanhollebeke, Jessie Dezutter, Laura Dewitte · 2023
  11. A Scoping Review of Passive Behavioral Sensing for Studying Depression and Anxiety in Older Adults (Preprint)
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  13. Prediction and Classification of Depression Level Among Mothers of School Going Children in Bangladesh Using Machine Learning with Feature Engineering and Hyperparameter Tuning
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  16. Leveraging Transfer Learning for Screening of Geriatric Depression
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  18. Unlocking the Potential of Machine Learning and Deep Learning for Screening of Geriatric Depression
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  19. Application progress of Ecological Momentary Assessment technology in health management platform (Preprint)
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  20. The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: A Systematic Review
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  21. Predicting changes in mental health with temporal Ecological Momentary Assessment features: a longitudinal study on the predictive accuracy and optimal time windows of (measuring) daily affective states (Preprint)
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  22. Managing Digital Transformation in the Healthcare Sector: Big Data Influencing Patient Outcomes, Costs, and Efficiency Improvement
    Nikolina Ljepava, Anna Tarabasz, Edyta Skibinska · 2025 · Advances in Science, Technology & Innovation/Advances in science, technology & innovation
  23. AI-Based Measurement Tools for Intrinsic Capacity in Older Adults: Scoping Review
    Chengji Yu, Ping Lu, Ying Zhou, Juan Zhao, Xiaodie Yang, Dayu Tang, Liying Ying · 2026 · Journal of Medical Internet Research
  24. Cleaning and pre-processing of actigraphy data for physical activity and sleep research: a scoping review
    Stephen G. Gonsalves, Justin Junpeng Zhao, Alicia A. Livinski, Michael E. Steele, Alexander Ross, Timothy Fuss, Kimberly A. Clevenger, Leorey N. Saligan · 2026 · Physiological Measurement
  25. Daily Actigraphy-based Passive Screening of Depression using Artificial Intelligence (Preprint)
    Doljinsuren Enkhbayar, Somin Oh, Jinhee Lee, M. Kim, Erdenebayar Urtnasan, Jaehong Key · 2026
  26. The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: Systematic Review and Meta-Analysis
    Hyeongsuk Lee, Seung‐Gul Kang, Seon Heui Lee · 2026 · Journal of Medical Internet Research
  27. Unravelling the relation between well-being and mobility in later life: an ecological momentary assessment approach
    Louise Meijering, Naomi Bader, Seilina Elings, Tess Osborne, Adrien Remund · 2026 · Wellbeing Space and Society
  28. Machine learning in mental health promotion for older adults: a scoping review
    Yunchen Ruan, Haodong Liang, Seita Yamamoto, Shiqi Lin · 2026 · BMC Geriatrics
  29. Ecological Momentary Assessment and Voice-Informed Forecast and Detection for the Diagnosis of Major Depression
    Daun Shin, Yong‐Ku Kim · 2026 · Advances in experimental medicine and biology
  30. Subject-Aware Detection of Depression from Wrist Actigraphy Using Per-Subject Distributional Aggregation and Interpretable Biomarker Analysis
    Osman Yıldız, Muhammed Enes Subasi, Abdulhamit Subasi · 2026 · Algorithms
  31. Machine learning applications across living environments, activity behaviors, and mental health among older adults: a systematic review
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