Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27936, first published .
Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study

Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study

Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study

Hiroki Matsui   1 , MPH ;   Hayato Yamana   2 , MD, PhD ;   Kiyohide Fushimi   3 , MD, PhD ;   Hideo Yasunaga   1 , MD, PhD

1 Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan

2 Department of Health Services Research, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

3 Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School, Tokyo, Japan

Corresponding Author:

  • Hiroki Matsui, MPH
  • Department of Clinical Epidemiology and Health Economics
  • School of Public Health
  • The University of Tokyo
  • 7-3-1 Hongo
  • Bunkyo-ku
  • Tokyo, 1130033
  • Japan
  • Phone: 81 3-5841-1887
  • Fax: 81 3-5841-1888
  • Email: ptmatsui-tky@umin.ac.jp