Knowledge Extraction from Medical Literature Database Using Association Rule Mining
——Taking Four Anti-neoplastic Medicines as an Example
Zhang Han1 Lu Zhenyu2 Cui Lei1
1(Department of Information Management and Information System(Medical), China Medical University, Shenyang 110001,China） 2(Department of Human Resource, the Second Affiliated Hospital of China Medical University, Shenyang 110004,China)
This paper presents the work in extracting four anti-neoplastic medicines related mesh/subheading co-occurrence mode using association rule mining, and evaluates the quality of the results by comparing it with the PubMed literature and textbook. The evaluations shows that this method is fit for medical knowledge extraction. The knowledge extracted can be used to improve the sensitivity of literature retrieval and establish the knowledge database.
张晗,路振宇,崔雷 . 利用关联规则对医学文本数据库进行知识抽取的尝试*——以四种抗肿瘤药为例[J]. 现代图书情报技术, 2006, 1(9): 49-52.
Zhang Han,Lu Zhenyu,Cui Lei . Knowledge Extraction from Medical Literature Database Using Association Rule Mining
——Taking Four Anti-neoplastic Medicines as an Example. New Technology of Library and Information Service, 2006, 1(9): 49-52.
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