Research progress in machine learning for fall risk management in old adults
10.3760/cma.j.cn211501-20230425-01012
- VernacularTitle:机器学习在老年人跌倒风险管理中的研究进展
- Author:
Qingqing SU
1
;
Mi SONG
;
Ling GAO
;
Jie SONG
;
Siqi LIU
;
Yuan GAO
Author Information
1. 中国人民解放军总医院第一医学中心重症医学科，北京 100853
- Keywords:
Machine learning;
Aged;
Review;
Accident fall;
Risk management
- From:
Chinese Journal of Practical Nursing
2023;39(29):2311-2316
- CountryChina
- Language:Chinese
-
Abstract:
Falls among the elderly are a serious public health problem. This paper reviews the application status of machine learning in fall risk identification, fall prevention training intervention, fall behavior detection and warning, analyzes the advantages and disadvantages of machine learning in the field of fall risk management for the elderly, and aims to provide ideas for personalized and accurate fall prevention practice for the elderly in the future.
