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

Decision Support for Health Professionals (2089) Clinical Information and Decision Making (3482) mHealth in a Clinical Setting (1090) Machine Learning (3005) Falls and Emergency Detection with Sensors and other Technologies (78)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75958, first published .
Elderly man sitting in armchair, head bowed, holding walking stick

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

Authors of this article:

Takuya Nishino1 Author Orcid Image ;   Kotone Matsuyama1, 2 Author Orcid Image ;   Yasuo Miyagi3, 4 Author Orcid Image ;   Nari Tanabe5 Author Orcid Image ;   Fumiko Yamaguchi3 Author Orcid Image ;   Hiroki Ito3 Author Orcid Image ;   Shizuka Soh3 Author Orcid Image ;   Ayako Yano6 Author Orcid Image ;   Masako Mizuno7 Author Orcid Image ;   Katsuhito Kato8 Author Orcid Image ;   Hiroshige Jinnouchi8 Author Orcid Image ;   Chol Kim6, 9 Author Orcid Image ;   Yosuke Ishii4 Author Orcid Image ;   Hiroki Yamaguchi3, 10 Author Orcid Image ;   Yukihiro Kondo1, 11 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Nishino T, Kubota Y, Miyagi Y, Tanabe N, Yamaguchi F, Ito H, Soh S, Yano A, Mizuno M, Kim C, Ishii Y, Kondo Y, Asai K, Liampas I. Association between hypnotic medication use and in-hospital falls among older adults: A multicenter landmark analysis. PLOS One 2026;21(6):e0351299 View
  2. Lee Y, Hsu Y, Lai S, Lin C, Lin C, Xu J. Admission clinical and functional assessments for predicting inpatient fall risk using machine learning models. DIGITAL HEALTH 2026;12 View