1.Current situation and enlightenment of infection control nurse certification system at home and abroad
Chinese Journal of Practical Nursing 2024;40(22):1756-1761
This paper reviews the generation and development process, access conditions, certification and recertification system of infection control nurses at home and abroad, and combines the national conditions and the current situation of specialist nurse training in China, and puts forward the prospect of the construction of certification bases, certification and recertification system settings and the construction of multi-track training models for infection control nurses in China in the future, so as to provide reference for the construction of the certification and recertification system of infection control nurses in China, in order to promote the development and improvement of the certification model of infection control nurses in China.
2.Strategies and Recommendations for the Development of Clinical Machine Learning Predictive Models
Zhengyao HOU ; 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
Herald of Medicine 2024;43(12):2048-2056
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.