节点文献
基于学位论文主题挖掘的医学信息专业跨学科研究特征分析
Analysis of Interdisciplinary Research Characteristics of Medical Information Specialty Based on Topics Mining of Postgraduate Dissertation
【摘要】 以学位论文为数据基础,采用共现聚类及文本挖掘方法,从知识交叉和研究内容方面分析医学信息研究生教育的跨学科特征,指出对新技术及应用的研究较为薄弱、各学科研究内容侧重明显不同等问题,建议增加融合多学科的科研思维培养及训练。
【Abstract】 Taking the postgraduate dissertation as the research data, through co-occurrence clustering and text mining methods, the interdisciplinary characteristics of medical informatics postgraduate education are analyzed from the aspects of knowledge intersection and research content. It is pointed out that the research on new technologies and applications is relatively weak, the emphasis of research content in each discipline is obviously different. It is recommended to increase the cultivation and training of multidisciplinary scientific research thinking.
【关键词】 医学信息学;
研究生教育;
学科特征;
主题识别;
文本聚类;
【Key words】 medical informatics; postgraduate education; disciplinary characteristics; topic identification; text clustering;
【Key words】 medical informatics; postgraduate education; disciplinary characteristics; topic identification; text clustering;
【基金】 吉林大学研究生教育教学改革建设项目“医学信息学研究生跨学科培养实践探索”(项目编号:2021JGY45)
- 【文献出处】 医学信息学杂志 ,Journal of Medical Informatics , 编辑部邮箱 ,2023年05期
- 【分类号】G643;R-4
- 【下载频次】35