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

Reviews (149) Digital Biomarkers and Digital Phenotyping (318) Depression and Mood Disorders; Suicide Prevention (1749) Mobile Health (mhealth) (3622) Digital Health, Telehealth and e-Innovation in Clinical Settings (577)

Published on in Vol 14 (2025)

This is a member publication of University of Münster

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69686, first published .
Cross-Platform Availability of Smartphone Sensors for Depression Indication Systems: Mixed-Methods Umbrella Review

Cross-Platform Availability of Smartphone Sensors for Depression Indication Systems: Mixed-Methods Umbrella Review

Cross-Platform Availability of Smartphone Sensors for Depression Indication Systems: Mixed-Methods Umbrella Review

Authors of this article:

Johannes Leimhofer1, 2 Author Orcid Image ;   Milica Petrovic1 Author Orcid Image ;   Andreas Dominik3 Author Orcid Image ;   Dominik Heider4 Author Orcid Image ;   Ulrich Hegerl1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Busshart L, Petrovic M, Amin R, Hegerl U. Distinguishing Common Digital Phenotyping and Self-Report Parameters for Monitoring and Predicting Depression: Scoping Review. JMIR mHealth and uHealth 2026;14:e70840 View