Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75958, first published .
Machine Learning–Based Prediction of In-Hospital Falls in Adult Inpatients: Retrospective Observational Multicenter Study

Machine Learning–Based Prediction of In-Hospital Falls in Adult Inpatients: Retrospective Observational Multicenter Study

Machine Learning–Based Prediction of In-Hospital Falls in Adult Inpatients: Retrospective Observational Multicenter Study

Takuya Nishino   1 ;   Kotone Matsuyama   1, 2 , BPharm ;   Yasuo Miyagi   3, 4 , MD, PhD ;   Nari Tanabe   5 , PhD ;   Fumiko Yamaguchi   3 ;   Hiroki Ito   3 ;   Shizuka Soh   3 ;   Ayako Yano   6 , MSN ;   Masako Mizuno   7 , MSN ;   Katsuhito Kato   8 , MD, PhD ;   Hiroshige Jinnouchi   8 , PhD ;   Chol Kim   6, 9 , MD, PhD ;   Yosuke Ishii   4 , MD, PhD ;   Hiroki Yamaguchi   3, 10 , MD, PhD ;   Yukihiro Kondo   1, 11 , MD, PhD

1 Department of Health Policy and Management, Nippon Medical School, Tokyo, Japan

2 Center for Clinical Research and Development, National Center for Child Health and Development, Tokyo, Japan

3 Department of Medical Safety Control, Nippon Medical School Hospital, Tokyo, Japan

4 Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan

5 Faculty of Engineering, Suwa University of Science, Nagano, Japan

6 Department of Medical Safety Control, Nippon Medical School, Chiba Hokusoh Hospital, Chiba, Japan

7 Nursing Department, Nippon Medical School, Chiba Hokusoh Hospital, Chiba, Japan

8 Department of Hygiene and Public Health, Nippon Medical School, Tokyo, Japan

9 Department of Anesthesiology, Nippon Medical School, Chiba Hokusoh Hospital, Chiba, Japan

10 Department of Hematology, Nippon Medical School, Tokyo, Japan

11 Department of Urology, Nippon Medical School, Tokyo, Japan

Corresponding Author:

  • Kotone Matsuyama, BPharm
  • Department of Health Policy and Management
  • Nippon Medical School
  • 1-1-5 Sendagi, Bunkyo-ku
  • Tokyo 113-8603
  • Japan
  • Phone: 81 3 3822 2131
  • Email: m-kotone@nms.ac.jp