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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1402) mHealth for Patient Education (232) Web-based and Mobile Health Interventions (3304) mHealth for Wellness, Behavior Change and Prevention (2875)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45531, first published .
Improving Kidney Outcomes in Patients With Nondiabetic Chronic Kidney Disease Through an Artificial Intelligence–Based Health Coaching Mobile App: Retrospective Cohort Study

Improving Kidney Outcomes in Patients With Nondiabetic Chronic Kidney Disease Through an Artificial Intelligence–Based Health Coaching Mobile App: Retrospective Cohort Study

Improving Kidney Outcomes in Patients With Nondiabetic Chronic Kidney Disease Through an Artificial Intelligence–Based Health Coaching Mobile App: Retrospective Cohort Study

Authors of this article:

Wei Liu1, 2 Author Orcid Image ;   Xiaojuan Yu3, 4, 5, 6 Author Orcid Image ;   Jiangyuan Wang7 Author Orcid Image ;   Tianmeng Zhou7 Author Orcid Image ;   Ting Yu2, 8 Author Orcid Image ;   Xuyong Chen7 Author Orcid Image ;   Shasha Xie7 Author Orcid Image ;   Fuman Han7 Author Orcid Image ;   Zi Wang3, 4, 5, 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Soeno S, Liu K, Watanabe S, Sonoo T, Goto T, Shaikh A. Development of novel optical character recognition system to reduce recording time for vital signs and prescriptions: A simulation-based study. PLOS ONE 2024;19(1):e0296319 View
  2. Curtis F, Burton J, Butt A, Dhaliwal H, Graham-Brown M, Lightfoot C, Rawat R, Smith A, Wilkinson T, March D, Wu H. Lifestyle interventions delivered by eHealth in chronic kidney disease: A scoping review. PLOS ONE 2024;19(1):e0297107 View
  3. Dong L, Tan L. Bibliometric and visual analyses of advancements in chronic kidney disease management. Medicine 2024;103(26):e38576 View