Research progress on the aged frailty risk prediction model based on machine learning
10.3760/cma.j.cn115682-20230420-01554
- VernacularTitle:基于机器学习的老年人衰弱风险预测模型的研究进展
- Author:
Qian LUO
1
;
Xiuhong WANG
Author Information
1. 贵州医科大学护理学院，贵阳 550000
- Keywords:
Review;
Aged;
Frailty;
Prediction model;
Risk prediction;
Machine learning
- From:
Chinese Journal of Modern Nursing
2023;29(34):4730-4735
- CountryChina
- Language:Chinese
-
Abstract:
Frailty, as a common clinical syndrome in older adults, predisposes them to many adverse health outcomes. Machine learning, as a new modelling method, has the advantages of objectivity, accuracy and science. Therefore, this paper reviews the concept of frailty, the overview of risk prediction models and machine learning, and the current status of research on frailty risk prediction models for older adults based on machine learning, with the aim of providing a reference for the construction of a machine-learning frailty risk prediction model for older adults that meets China's clinical reality, and then promoting the precise prevention and individualised intervention of frailty.
