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

Machine Learning (47) Mobile Health (mhealth) (2752) Text-messaging (SMS, WeChat etc)-Based Interventions (621) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (458) Diabetes-specific EHR Improvements (29) Machine Learning (1374) Diabetes (150) Artificial Intelligence in Diabetes Care and Prevention (22) Diabetes Prevention (77)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47122, first published .
Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study

Authors of this article:

Danissa V Rodriguez1 Author Orcid Image ;   Ji Chen1 Author Orcid Image ;   Ratnalekha V N Viswanadham1 Author Orcid Image ;   Katharine Lawrence1, 2 Author Orcid Image ;   Devin Mann1, 2 Author Orcid Image
Article Authors Cited by Tweetations (7) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually