A framework for exploring associations between biomedical terms in PubMed.

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作者： Haixiu,Yang ^[1] ; Lingling,Zhao ^[2] ; Ying,Zhang ^[3] ; Hong,Ju ^[4] ; Dong,Wang ^[5] ; Yang,Hu ^[6] ; Jun,Zhang ^[3] ; Liang,Cheng ^[1]

作者单位： College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China. ^[1] School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, PR China. ^[2] Department of Rehabilitation and Pharmacy, Heilongjiang Province Land Reclamation Headquarters General Hospital, Harbin 150088, PR China. ^[3] Department of Information Engineering, Heilongjiang Biological Science and Technology Career Academy, Harbin 150001, PR China. ^[4] Department of Academic Research, Heilongjiang University of Science & Technology, Harbin 150022, PR China. ^[5] School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, PR China. ^[6]

关键词 co-occurrence relationship framework term association text mining

DOI 10.18632/oncotarget.21532

PMID 29262548

发布时间 2019-11-20

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准确一般字义偏差语意偏离译文作用小提交