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

Digital Health Reviews (3557) Mobile Health (mhealth) (5080) mHealth for Data Collection and Research (1694) Depression and Mood Disorders; Suicide Prevention (2415) Wearable Devices and Sensors (1546) Anxiety and Stress Disorders (1587) Diagnostic Tools in Mental Health (418) Fitness Trackers and Smart Pedometers/Accelerometers (785) Digital Biomarkers and Digital Phenotyping (424)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77331, first published .
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Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Authors of this article:

Hyun Woo Jung1, 2 Author Orcid Image ;   Do Yeon Kim3 Author Orcid Image ;   Ilju Lee2 Author Orcid Image ;   Ok Kim2, 4 Author Orcid Image ;   Seungjin Lee5 Author Orcid Image ;   Sujin Lee5 Author Orcid Image ;   Un Sun Chung6 Author Orcid Image ;   Jae-Hyun Kim7 Author Orcid Image ;   Sehwan Kim8 Author Orcid Image ;   Jung Won Kim9, 10 Author Orcid Image ;   Ah Lahm Shin10, 11 Author Orcid Image ;   Jung Jae Lee1, 2, 12 Author Orcid Image
Article Authors Cited by (16) Tweetations (1) Metrics

Journals

  1. Yang N, Yang X. Uncovering eHealth Engagement Patterns Through Latent Class Analysis and SHAP: A Data Mining Perspective on Telehealth Access. Information 2026;17(2):215 View
  2. Xu Y, Zhao Z, Zhu H, Lai S, Jia Y, Liu G. Machine Learning-Empowered Depression Detection With Wearable Skin Electronics: A Review. IEEE Sensors Journal 2026;26(6):7949 View
  3. Lee H, Kang S, Lee S. The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026;28:e76432 View
  4. Ma N, Zhang X, Qu B, Wang W. EAVS-TF: A bio-inspired spiking neural network for energy-efficient multimodal emotion recognition. Current Radiopharmaceuticals 2026;19(3):100041 View
  5. Emanuele E, Minoretti P. Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI. EPMA Journal 2026;17(2):233 View
  6. Torales J, O’Higgins M, Barrios I, Ventriglio A, Castaldelli-Maia J, Smith A, Liebrenz M. From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time. International Journal of Social Psychiatry 2026 View
  7. ElBarazi A, Mohamed H, Nasser R. Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar. Healthcare 2026;14(9):1247 View
  8. Wang M, Jiang Y, Wu C, Liao J, Zhou B, Yuan Y, Sun J. Precision psychiatry in depression <i>via</i> mechanism based stratification and therapy. Targetome 2026;2(3):0 View
  9. Chen S, Vermol V, Yu J, Jiang H. Immersive metaverse art as a psychological intervention for depression and anxiety: a narrative review and multilevel model integrating engagement, cultural identity, and neurocognitive mechanisms. Frontiers in Psychology 2026;17 View
  10. Meistro F, D’Angelo P, Spadari A, Rinnovati R. Smartphone-Based Technologies in Equine Sports Medicine: Supporting Athlete Management—A Review. Sensors 2026;26(13):4002 View
  11. Kwon S, Kim Y, Jhon M, Park J, Lim B, Jeon E, Kim J, Kim J, Lee H. On-premises open-source large language models for privacy-preserving multimodal depression screening. International Journal of Medical Informatics 2026;220:106577 View
  12. Kim S, Park H, Shin J, Park J, Joo S, Park S, Jung D, Lee S, Lee S, Kim H, Jo Y, Ko S, Choi A, Rhim J, Yoo J, Lee J. Modeling Short-Term Symptom Changes and Behavioral Subtypes of Depression and Anxiety in the General Population: Observational Study Using Smartphone Data. JMIR Formative Research 2026;10:e88083 View
  13. Inshutiyimana S, Rana K, Aleu M, Bwalya N, Nsengimana B, Kipkurui O. Digital and Biomarker‐Based Monitoring for Schizophrenia‐Treatment Adherence. Neuropsychopharmacology Reports 2026;46(3) View

Books/Policy Documents

  1. Singh L, Kumar A. Integrating Disability Care in Major Depressive Disorder Through Neurological and Mental Health Perspectives for Empowerment. View

Conference Proceedings

  1. Juthi S, Rahman M, Muni M, Billah M, Tasnim S, Ahmed K. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence &amp; Networking (QPAIN). AI-Driven Autoencoder–LightGBM Framework for Workplace Mental Health Screening View
  2. Noor L, Zahid P, Iqbal U. 2026 International Conference on IT and Industrial Technologies (ICIT). Mental Health Prediction for Depression, Anxiety, and Stress Using Adaptive Machine Learning-Based Pattern Analysis View