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

Cheng-Hao Chang   1 * , MD ;   Mingchih Chen   2, 3 * , PhD ;   Ming-Hsien Tsai   1, 4 , MD, PhD ;   Yen-Chun Huang   5 , PhD ;   Hung-Hsiang Liou   6 , MD ;   Ben-Chang Shia   2, 3 , MD, PhD ;   Chingying Liang   2, 3 , MD ;   Yu-Wei Fang   1, 4 , MD, PhD

1 Division of Nephrology, Department of Internal Medicine, Shin-Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan

2 Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City, Taiwan

3 AI Development Center, Fu Jen Catholic University, New Taipei City, Taiwan

4 Department of Medicine, Fu Jen Catholic University School of Medicine, New Taipei City, Taiwan

5 Department of Artificial Intelligence, Tamkang University, New Taipei City, Taiwan

6 Division of Nephrology, Department of Internal Medicine, Hsin-Jen Hospital, New Taipei City, Taiwan

*these authors contributed equally

Corresponding Author:

  • Yu-Wei Fang, MD, PhD
  • Division of Nephrology, Department of Internal Medicine
  • Shin-Kong Wu Ho-Su Memorial Hospital
  • No.95, Wen-Chang Road, Shih-lin District
  • Taipei 111
  • Taiwan
  • Phone: 886-912376017
  • Email: m005916@gmail.com