摘要
分析医学院校大数据课程设置存在的问题及原因,详细阐述大数据课程群建设思路、内容,包括分层多元化人才培养模式、多学科知识融合、大数据课程群、产学研一体化的实验教学等,为相关研究提供参考。
The paper analyzes the problems and causes of big data curriculum setting in medical universities and colleges,expounds the ideas and contents of construction of big data curriculum group in detail,including stratified and diversified talent training mode,multidisciplinary knowledge integration,big data curriculum group,experimental teaching featuring the collaboration between enterprises,universities and research institutes,etc.,and provides references for relevant study.
作者
葛敬军
赵丽
赵俊杰
GE Jingjun;ZHAO Li;ZHAO Junjie(Department of Medical Information Engineering,Jining Medical University,Rizhao 276800,China;Research Center of Big Data and Health,Jining Medical University,Rizhao 276800,China;Jining Health School of Shandong Province,Rizhao276800,China)
出处
《医学信息学杂志》
CAS
2022年第7期94-99,共6页
Journal of Medical Informatics
基金
济宁医学院教育科学研究课题“面向医学领域大数据需求的专业课程体系建设”(项目编号:18048)
济宁医学院大学生创新创业训练项目(项目编号:cx2021058)
济宁医学院青年教师科研扶持基金“大数据驱动下的慢性病预后预测研究”(项目编号:JY2017KJ054)。
关键词
医学院校
大数据课程群建设
分层多元化培养
学科交叉
medical universities and colleges
construction of big data curriculum group
stratified and diversified cultivation
interdisciplinary
