PAMS - A Personalized Automatic Messaging System for User Engagement with a Digital Diabetes Prevention Program
Author:
Affiliation:
1. NYU Grossman School of Medicine,Department of Population Health,NY,USA
2. New York University Langone Health,Department of Population Health,NY,USA
3. NYU Grossman School of Medicine /NYU Langone Health,Department of Population Health,NY,USA
Funder
Institute of Diabetes and Digestive and Kidney Diseases
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9874441/9874443/09874557.pdf?arnumber=9874557
Reference41 articles.
1. Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study
2. mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study
3. Analyzing mHealth Engagement: Joint Models for Intensively Collected User Engagement Data
4. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies
5. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study;JMIR AI;2024-03-01
2. Designing personalised mHealth solutions: An overview;Journal of Biomedical Informatics;2023-10
3. Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: An Evaluation Study (Preprint);2023-03-08
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