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

RCTs - Protocols/Proposals (eHealth) (668) Text-messaging (SMS, WeChat etc)-Based Interventions (750) Web-based and Mobile Health Interventions (4017) mHealth for Wellness, Behavior Change and Prevention (3314) Smoking Cessation (629) Vulnerable Populations in Health Research (237)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63693, first published .
Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

Authors of this article:

Ariana Kamberi1 Author Orcid Image ;   Benjamin Weitz1 Author Orcid Image ;   Julie Flahive2 Author Orcid Image ;   Julianna Eve3 Author Orcid Image ;   Reem Najjar1 Author Orcid Image ;   Tara Liaghat4 Author Orcid Image ;   Daniel Ford4 Author Orcid Image ;   Peter Lindenauer3 Author Orcid Image ;   Sharina Person2 Author Orcid Image ;   Thomas K Houston5 Author Orcid Image ;   Megan E Gauvey-Kern4 Author Orcid Image ;   Jackie Lobien4 Author Orcid Image ;   Rajani S Sadasivam1 Author Orcid Image
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