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

Applications of AI (229) Research Methodology - AI (23)

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 (2) Tweetations (4) Metrics

Journals

  1. Sinha K, Ghosh N, Sil P. Harnessing machine learning in contemporary tobacco research. Toxicology Reports 2025;14:101877 View
  2. Wiseman K, Budenz A, Siegel L, Prutzman Y. Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial. Journal of Medical Internet Research 2025;27:e67630 View