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

RCTs - Protocols/Proposals (eHealth) (668) Artificial Intelligence (2129) Psychological, Behavioral, Social, and/or Cultural Experiments and Interventions (95) Behavioural Surveillance for Public Health (294) Web-based and Mobile Health Interventions (4018) Mobile Health Technology and Digital Platforms for Public Health (54)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73773, first published .
Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial

Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial

Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial

Authors of this article:

Trevor van Mierlo1 Author Orcid Image ;   Rachel Fournier1 Author Orcid Image ;   Siu Kit Yeung2 Author Orcid Image ;   Sofiia Lahutina3 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics Author Video

Trevor van Mierlo   1 * , MScCH, MBA, GEMBA, MScBMR, DBA ;   Rachel Fournier   1 * , MSc ;   Siu Kit Yeung   2 * , MPhil ;   Sofiia Lahutina   3 * , MPA, MD, PhD

1 Evolution Health, Torrance, CA, United States

2 Department of Psychology, Chinese University of Hong Kong, Hong Kong, China

3 Centrum für Affektive Neurowissenschaften, Charité - Universitätsmedizin, Berlin, Germany

*all authors contributed equally

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