Machine Learning Prediction for Postdischarge Falls in Older Adults: A Multicenter Prospective Study
To our knowledge, this is the first study to develop an ML model for predicting early postdischarge falls among older patients in acute care hospitals. The findings suggest that this model could assist in developing fall-prevention strategies to ensure seamless transition of care from hospitals to communities.
Authors
- H. Masuda (ORCID: https://orcid.org/0000-0002-7140-8121)
- Misaki Fujii
- Shosuke Satake (ORCID: https://orcid.org/0000-0003-0301-1461)
- Yoichi Takami (ORCID: https://orcid.org/0000-0001-9018-6707)
- T. Nakajima (ORCID: https://orcid.org/0000-0002-3670-1701)
- Miyae Yamakawa (ORCID: https://orcid.org/0000-0002-2399-8366)
- Yuko Takeshita
- Kasumi Ikuta (ORCID: https://orcid.org/0000-0002-4534-1357)
- Yasushi Takeya (ORCID: https://orcid.org/0000-0001-9901-2666)
- Kōichi Yamamoto (ORCID: https://orcid.org/0000-0003-0107-9315)
- Yumi Umeda‐Kameyama (ORCID: https://orcid.org/0000-0003-4353-3424)
- Hiroyuki Umegaki (ORCID: https://orcid.org/0000-0003-2504-4133)
- Yuichiro Saizen
- Mizuki Katsuhisa
- Misaki Kasamatsu
- Yoshinobu Kishino
- Eriko Koujiya (ORCID: https://orcid.org/0000-0002-9256-0237)
- Mai Onishi (ORCID: https://orcid.org/0009-0008-9987-5064)
- Yuzuki Maeizumi
- Nobuyuki Inaizumi
Institutions
- Tokyo Medical and Dental University (JP)
- University of Tokyo Hospital (JP)
- Osaka Health Science University (JP)
- National Center for Geriatrics and Gerontology (JP)
- Nagoya University (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Journal of the American Medical Directors Association
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1016/j.jamda.2024.105414
- Citations
- 3
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 3.44
Funders
- Japan Society for the Promotion of Science