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

Decision Support for Health Professionals (1625) Nephrology/Renal Disorders (109) Advanced Data Analytics in eHealth (232) Decision Support for Health Professionals (1625) Machine Learning (2212) Clinical Informatics (1421)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80343, first published .
Machine Learning Prediction of Progression to Dialysis in Patients With Polycystic Kidney Disease: Population-Based Retrospective Cohort Study

Machine Learning Prediction of Progression to Dialysis in Patients With Polycystic Kidney Disease: Population-Based Retrospective Cohort Study

Machine Learning Prediction of Progression to Dialysis in Patients With Polycystic Kidney Disease: Population-Based Retrospective Cohort Study

Authors of this article:

Cheng-Hao Chang1 Author Orcid Image ;   Mingchih Chen2, 3 Author Orcid Image ;   Ming-Hsien Tsai1, 4 Author Orcid Image ;   Yen-Chun Huang5 Author Orcid Image ;   Hung-Hsiang Liou6 Author Orcid Image ;   Ben-Chang Shia2, 3 Author Orcid Image ;   Chingying Liang2, 3 Author Orcid Image ;   Yu-Wei Fang1, 4 Author Orcid Image
Article Authors Cited by Tweetations 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