Accessibility settings

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

Mobile Health in Psychiatry (716) mHealth for Data Collection and Research (1691) Depression and Mood Disorders; Suicide Prevention (2413) Anxiety and Stress Disorders (1587) Digital Biomarkers and Digital Phenotyping (424)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80765, first published .
Behapp app welcome screen on a smartphone held by a person

Using Smartphone-Tracked Behavioral Markers to Recognize Depression and Anxiety Symptoms: Cross-Sectional Digital Phenotyping Study

Using Smartphone-Tracked Behavioral Markers to Recognize Depression and Anxiety Symptoms: Cross-Sectional Digital Phenotyping Study

Authors of this article:

George Aalbers1, 2 Author Orcid Image ;   Andrea Costanzo3 Author Orcid Image ;   Raj Jagesar3 Author Orcid Image ;   Femke Lamers1, 2 Author Orcid Image ;   Martien J H Kas3 Author Orcid Image ;   Brenda W J H Penninx1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Aalbers G, Costanzo A, Jagesar R, Lamers F, Kas M, Penninx B. Correction: Using Smartphone-Tracked Behavioral Markers to Recognize Depression and Anxiety Symptoms: Cross-Sectional Digital Phenotyping Study. JMIR Mental Health 2026;13:e92888 View

Conference Proceedings

  1. Kumar T, Venkata Sateesh Kumar P, Anoch B, Nikhila B, Suresh K, Suresh J. 2026 International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT). Uncertainty-Aware Explainable Ensemble Learning Framework for Smartphone Addiction Prediction using Behavioural Data View