Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17886, first published .
Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Guilan Kong   1, 2 * , PhD ;   Jingyi Wu   2 * , MS ;   Hong Chu   3 , MD, PhD ;   Chao Yang   3 , MS ;   Yu Lin   4 , MPH ;   Ke Lin   1 , MS ;   Ying Shi   5 , BMS ;   Haibo Wang   1, 6 , MSc, MPH, MBBS ;   Luxia Zhang   1, 2, 3 , MPH, MD

1 National Institute of Health Data Science, Peking University, Beijing, China

2 Advanced Institute of Information Technology, Peking University, Hangzhou, China

3 Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China

4 Department of Medicine and Therapeutics, LKS Institute of Health Science, The Chinese University of Hong Kong, Hong Kong, China

5 China Standard Medical Information Research Center, Shenzhen, China

6 Clinical Trial Unit, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Luxia Zhang, MPH, MD
  • National Institute of Health Data Science
  • Peking University
  • No 38 Xueyuan Road
  • Haidian District
  • Beijing, 100191
  • China
  • Phone: 86 10 82806538
  • Email: zhanglx@bjmu.edu.cn