基于数据挖掘的预防医学本科生专业成绩预测模型分析与决策  

Analysis and Decision-Making of Academic Performance Prediction Model for Preventive Medicine Undergraduates Based on Data Mining

作　　者：李传苍 叶贝珠 赵婷 周雅冰 张梦鸽 孙亮[1] Li Chuancang;Ye Beizhu;Zhao Ting;Zhou Yabing;Zhang Mengge;Sun Liang(Zhengzhou University School of Public Health,Zhengzhou 450001,Henan,China)

机构地区：[1]郑州大学公共卫生学院,河南郑州450001

出　　处：《中国高等医学教育》2024年第9期51-54,57,共5页China Higher Medical Education

基　　金：郑州大学2023年度教育教学改革与研究项目(2023ZZUJGXM222)。

摘　　要：在新冠疫情流行的背景下,预防医学高等人才的培养是一个至关重要的问题.数据挖掘技术可对预防医学专业本科生构建成绩预测模型,为预防医学专业人才培养和高校教育工作提供指导,为今后改进预防医学人才培养方案提供依据.In the context of the COVID-19 pandemic,cultivating high-level preventive medicine talents is crucial.Data mining technology can be used to construct an academic performance prediction model for preventive medicine undergraduates,providing guidance for talent training and higher education in the field of preventive medicine.This model serves as a basis for improving future preventive medicine talent cultivation programs.

关 键 词：数据挖掘 预防医学 专业成绩 预测模型 

分 类 号：G642[文化科学—高等教育学]