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

mHealth for Data Collection and Research (981) Depression and Mood Disorders; Suicide Prevention (1392) Evaluation and Research Methodology for mHealth (210) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) mHealth for Wellness, Behavior Change and Prevention (2922)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34148, first published .
Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Authors of this article:

Mariko Makhmutova1 Author Orcid Image ;   Raghu Kainkaryam2 Author Orcid Image ;   Marta Ferreira2 Author Orcid Image ;   Jae Min2 Author Orcid Image ;   Martin Jaggi1 Author Orcid Image ;   Ieuan Clay2, 3 Author Orcid Image
Article Authors Cited by (11) Tweetations (7) Metrics

Mariko Makhmutova   1 , MSc ;   Raghu Kainkaryam   2 , PhD ;   Marta Ferreira   2 , MSc ;   Jae Min   2 , PhD ;   Martin Jaggi   1 , PhD ;   Ieuan Clay   2, 3 , PhD

1 École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

2 Evidation Health Inc, San Mateo, CA, United States

3 Digital Medicine Society, Boston, MA, United States

Corresponding Author: