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

Machine Learning (1465) Decision Support for Health Professionals (1186)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20578, first published .
Prognostic Machine Learning Models for First-Year Mortality in Incident Hemodialysis Patients: Development and Validation Study

Prognostic Machine Learning Models for First-Year Mortality in Incident Hemodialysis Patients: Development and Validation Study

Prognostic Machine Learning Models for First-Year Mortality in Incident Hemodialysis Patients: Development and Validation Study

Authors of this article:

Kaixiang Sheng1 Author Orcid Image ;   Ping Zhang1 Author Orcid Image ;   Xi Yao1 Author Orcid Image ;   Jiawei Li1 Author Orcid Image ;   Yongchun He1 Author Orcid Image ;   Jianghua Chen1 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

Kaixiang Sheng   1 * , MD ;   Ping Zhang   1 * , MD ;   Xi Yao   1 , MD ;   Jiawei Li   1 , BA ;   Yongchun He   1 , BA ;   Jianghua Chen   1 , MD

1 Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

*these authors contributed equally

Corresponding Author:

  • Jianghua Chen, MD
  • Kidney Disease Center
  • The First Affiliated Hospital, Zhejiang University School of Medicine
  • #79 Qingchun Road
  • Hangzhou, 310003
  • China
  • Phone: 86 57187236992
  • Fax: 86 57187236189
  • Email: zjukidney@zju.edu.cn