Correction: Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial
Correction: Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial
Megan Gauvey-Kern, Peter K. Lindenauer, Rajani Shankar Sadasivam, Ariana Kamberi et al.
Journal
JMIR Research Protocols
Topics
Digital Mental Health Interventions
article
Correction: Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial
Megan Gauvey-Kern, Peter K. Lindenauer, Rajani Shankar Sadasivam, Ariana Kamberi, Julianna Eve, Sharina D. Person, Kavitha Balakrishnan, Daniel E. Ford, Julie Flahive, Thomas K. Houston, Jackie Lobien, Reem Najjar, Benjamin Weitz, Tara Liaghat
article en
Abstract
No abstract available for this paper.
Publication Tag
JMIR Research ProtocolsVol. 14
Institutions
Johns Hopkins University (US), University of Massachusetts Chan Medical School (US), Johns Hopkins Medicine (US), Baystate Health (US), Wake Forest University (US)
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Correction: Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial — Megan Gauvey-Kern, Peter K. Lindenauer, et al. · JMIR Research Protocols (2025) | TGRS Research Map | TGRS