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

Systematic Review Protocols (335) Mobile Health (mhealth) (3465) Mobile Health in Psychiatry (527) Digital Health Reviews (1725) Reviews in Digital Mental Health (289) Design and Formative Evaluation of Mobile Apps (809) Anxiety and Stress Disorders (1330) Support for Children and Adolescents with Mental Health/Substance Use Issues (76)

Published on in Vol 13 (2024)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56400, first published .
Mental Health Monitoring for Young People Through Mood Apps: Protocol for a Scoping Review and Systematic Search in App Stores

Mental Health Monitoring for Young People Through Mood Apps: Protocol for a Scoping Review and Systematic Search in App Stores

Mental Health Monitoring for Young People Through Mood Apps: Protocol for a Scoping Review and Systematic Search in App Stores

Authors of this article:

Selina Boege1, 2 Author Orcid Image ;   Madison Milne-Ives1, 2 Author Orcid Image ;   Ananya Ananthakrishnan1 Author Orcid Image ;   Cen Cong1 Author Orcid Image ;   Aditya Sharma3, 4 Author Orcid Image ;   David Anderson3, 4 Author Orcid Image ;   Edward Meinert1, 5, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Alwan H. Develop, Design, and Evaluate a Real-Time Facial Micro-Expression Recognition Model for Mental Health Monitoring Using a Three-Dimensional Convolutional Neural Network. IEEE Access 2025;13:187602 View