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

Non-randomized Protocols and Methods (ehealth) (752) Web-based and Mobile Health Interventions (4361) Mobile Health (mhealth) (3775) mHealth for Data Collection and Research (1303) Participatory Design and Participatory Research (467) Intentional Self-Harm (151) Sleep Monitoring, Sleep Quality, Sleep Disorders (294)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53597, first published .
Person holding a smartphone with a daily check-in app showing time blocks and mood prompts

Digital Phenotyping for Real-Time Monitoring of Nonsuicidal Self-Injury: Protocol for a Prospective Observational Study

Digital Phenotyping for Real-Time Monitoring of Nonsuicidal Self-Injury: Protocol for a Prospective Observational Study

Authors of this article:

Chan-Young Ahn1 Author Orcid Image ;   Jong-Sun Lee1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. van Hoorn A, Mankee‐Williams A, Lewis G, Mellili R, Eccles J, Ottaviani C, Laugharne R, Shankar R. The Feasibility of Ambulatory Heart Rate Variability Monitoring in Non‐Suicidal Self‐Injury. Healthcare Technology Letters 2025;12(1) View
  2. Huang A, Huang S. Revolutionizing Sleep Medicine: The Impact of Machine Learning on Diagnosis, Treatment, and Personalized Care. Health Science Reports 2026;9(6) View

Books/Policy Documents

  1. Salavati M, Selby E. Theories of Borderline Personality Disorder. View