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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1839) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2335) mHealth for Data Collection and Research (1286) Depression and Mood Disorders; Suicide Prevention (1792) Digital Biomarkers and Digital Phenotyping (338) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (707)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81397, first published .
Contribution of Longitudinal Mobile Health Measures in the Dynamic Track of Patients With Major Depressive Disorder: Multiple Centers, Prospective Cohort Study Using Functional Data Analysis and Machine Learning

Contribution of Longitudinal Mobile Health Measures in the Dynamic Track of Patients With Major Depressive Disorder: Multiple Centers, Prospective Cohort Study Using Functional Data Analysis and Machine Learning

Contribution of Longitudinal Mobile Health Measures in the Dynamic Track of Patients With Major Depressive Disorder: Multiple Centers, Prospective Cohort Study Using Functional Data Analysis and Machine Learning

Authors of this article:

Rou Zhong1, 2 Author Orcid Image ;   Nanxi Li1, 2 Author Orcid Image ;   Le Xiao1, 2 Author Orcid Image ;   Lei Feng1, 2 Author Orcid Image ;   Yuan Feng1, 2 Author Orcid Image ;   Gang Wang1, 2 Author Orcid Image ;   Xuequan Zhu1, 2 Author Orcid Image
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