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

Artificial Intelligence (117) Mobile Health (mhealth) (2752) Behavioural Surveillance for Public Health (205) Web-based and Mobile Health Interventions (3100) Smoking Cessation (514) mHealth for Data Collection and Research (908) mHealth for Wellness, Behavior Change and Prevention (2732) Machine Learning (1374)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51756, first published .
Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Authors of this article:

Leeann Nicole Siegel1 Author Orcid Image ;   Kara P Wiseman2 Author Orcid Image ;   Alex Budenz1 Author Orcid Image ;   Yvonne Prutzman1 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Leeann Nicole Siegel   1 , MPH, PhD ;   Kara P Wiseman   2 , MPH, PhD ;   Alex Budenz   1 , MA, DrPH ;   Yvonne Prutzman   1 , MPH, PhD

1 National Cancer Instiute, National Institutes of Health, Rockville, MD, United States

2 University of Virginia School of Medicine, Charlottesville, VA, United States

Corresponding Author: