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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (557) Web-based and Mobile Health Interventions (5980) Mobile Health (mhealth) (5325) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3386) mHealth for Wellness, Behavior Change and Prevention (4348)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64098, first published .
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Digital Health Resilience and Well-Being Interventions for Military Members, Veterans, and Public Safety Personnel: Environmental Scan and Quality Review

Digital Health Resilience and Well-Being Interventions for Military Members, Veterans, and Public Safety Personnel: Environmental Scan and Quality Review

Authors of this article:

Rashell R Allen1, 2 Author Orcid Image ;   Myrah A Malik2, 3 Author Orcid Image ;   Carley Aquin2, 4 Author Orcid Image ;   Lucijana Herceg2, 4 Author Orcid Image ;   Suzette Brémault-Phillips2, 3 Author Orcid Image ;   Phillip R Sevigny1, 2, 4 Author Orcid Image
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Journals

  1. Zhang J, Khundrakpam B, Pavlovic N, Meybodi Z, Thibault F, De Luca G, Sy A, Merchant W, Choudhury N, Granek J. Machine Learning Feature Selection and Predictive Modeling of Subjective Workload During Virtual Stress Exposure Training in Civilian Adults: Implications for a Supervised Data-Driven Approach (Preprint). JMIR XR and Spatial Computing 2026 View