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

Mobile Health (mhealth) (2993) Depression and Mood Disorders; Suicide Prevention (1395) Machine Learning (1517) Artificial Intelligence (1450) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (855) mHealth for Data Collection and Research (987) Diagnostic Tools in Mental Health (250) Digital Biomarkers and Digital Phenotyping (198) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1576)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56874, first published .
Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study

Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study

Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study

Authors of this article:

Arsi Ikäheimonen1 Author Orcid Image ;   Nguyen Luong1 Author Orcid Image ;   Ilya Baryshnikov2, 3 Author Orcid Image ;   Richard Darst4 Author Orcid Image ;   Roope Heikkilä5 Author Orcid Image ;   Joel Holmen6, 7 Author Orcid Image ;   Annasofia Martikkala2, 3 Author Orcid Image ;   Kirsi Riihimäki3, 8 Author Orcid Image ;   Outi Saleva3 Author Orcid Image ;   Erkki Isometsä2, 3 Author Orcid Image ;   Talayeh Aledavood1 Author Orcid Image
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