1.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.
2.Emergency training need and effect evaluation analysis of novel coronavirus pneumonia in centers of disease control and prevention.
Jing MA ; ZhaoNan WANG ; MengRan LIU ; XueTong LIU ; JinQi DENG ; XiaoYing SHAO ; YingXin PEI ; HuiMing LUO ; Zheng DAI
Chinese Journal of Preventive Medicine 2021;55(12):1496-1499
A questionnaire was used to investigate the emergency training needs of novel coronavirus pneumonia of disease prevention and control institutions in provinces, deputy provincial level regions and cities specifically designated in the state plan, and the effect evaluation of emergency training activities conducted by Chinese Center for Disease Control and Prevention (China CDC). The results showed that 67.4% of 47 disease prevention and control institutions (31/46) believed that the emergency training at the initial stage of the epidemic should be conducted as soon as possible, and the form of network training should be given priority. The training should focus on the urgently needed technologies such as epidemiological investigation, formulation and response of prevention and control strategies, laboratory testing, etc. The teaching materials should highlight pertinence and practicability and be presented in the form of electronic video. The average satisfaction score of the video training conducted by China CDC was (8.81±1.125) and the score of audio-video courseware was (8.97±0.893). The needs analysis and evaluation of novel coronavirus pneumonia prevention and control in disease prevention and control institutions could provide reference for the follow-up training and improve the emergency training management.
COVID-19
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China/epidemiology*
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Humans
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Pneumonia/prevention & control*
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SARS-CoV-2
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Surveys and Questionnaires