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

Wearables and MHealth Viewpoints (64) Mental Health Issues in Adolescence (323) mHealth for Wellness, Behavior Change and Prevention (2451) Mobile Health in Psychiatry (363) Wearable Devices and Sensors (703) mHealth for Data Collection and Research (745) Mobile Health (mhealth) (2219)

Published on in Vol 9 , No 10 (2021) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20638, first published .
A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study

A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study

A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study

Authors of this article:

Lucy MacLeod 1 Author Orcid Image ;   Banuchitra Suruliraj 2 Author Orcid Image ;   Dominik Gall 3 Author Orcid Image ;   Kitti Bessenyei 1 Author Orcid Image ;   Sara Hamm 1 Author Orcid Image ;   Isaac Romkey 1 Author Orcid Image ;   Alexa Bagnell 1 Author Orcid Image ;   Manuel Mattheisen 1 Author Orcid Image ;   Viswanath Muthukumaraswamy 1 Author Orcid Image ;   Rita Orji 2 Author Orcid Image ;   Sandra Meier 1 Author Orcid Image
Article Authors Cited by (5) Tweetations (6) Metrics

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  2. Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
  3. Winkler T, Büscher R, Larsen M, Kwon S, Torous J, Firth J, Sander L. Passive Sensing in the Prediction of Suicidal Thoughts and Behaviors: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(11):e42146 View
  4. Castro R, Ribeiro-Alves M, Oliveira C, Romero C, Perazzo H, Simjanoski M, Kapciznki F, Balanzá-Martínez V, De Boni R. What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review. Frontiers in Public Health 2022;9 View
  5. Mullick T, Radovic A, Shaaban S, Doryab A. Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study. JMIR Formative Research 2022;6(6):e35807 View