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

Mobile Health (mhealth) (3087) Depression and Mood Disorders; Suicide Prevention (1468) Machine Learning (1634) Artificial Intelligence (1613) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (896) mHealth for Data Collection and Research (1036) Diagnostic Tools in Mental Health (274) Digital Biomarkers and Digital Phenotyping (218) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1707)

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
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Aledavood T, Luong N, Baryshnikov I, Darst R, Heikkilä R, Holmén J, Ikäheimonen A, Martikkala A, Riihimäki K, Saleva O, Triana A, Isometsä E. Multimodal Digital Phenotyping Study in Patients With Major Depressive Episodes and Healthy Controls (Mobile Monitoring of Mood): Observational Longitudinal Study. JMIR Mental Health 2025;12:e63622 View