Strategies and Recommendations for the Development of Clinical Machine Learning Predictive Models
10.3870/j.issn.1004-0781.2024.12.029
- VernacularTitle:机器学习临床预测模型构建策略与建议
- Author:
Zhengyao HOU
1
,
2
;
Jinqi LI
;
Yong YANG
;
Mengting LI
;
Hao SHEN
;
Huan CHANG
;
Xinyu LIU
;
Bo DENG
;
Guangjie GAO
;
Yalin WEN
;
Shiyue LIANG
;
Yanqiu YU
;
Shundong LEI
;
Xingwei WU
Author Information
1. 四川省医学科学院·四川省人民医院药学部,成都 610072
2. 电子科技大学医学院,个体化药物治疗四川省重点实验室,成都 610072
- Keywords:
Machine learning;
Clinical predictive model;
Data preprocessing;
Evaluation of model performance;
Interpretability
- From:
Herald of Medicine
2024;43(12):2048-2056
- CountryChina
- Language:Chinese
-
Abstract:
Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.
