Design and Implementation of Mining Indirect Connections Between Medical Complementary Literatures Based on UMLS
Zhang Han1 Ren Zhiguo2 Yu Qian3 Cui Lei1
1(Faculty of Information Management and Information System (Medicine),
China Medical University, Shenyang 110001,China) 2(Network Center, China Medical University,Shenyang 110001,China) 3(Journal of Spine Surgery,Shanghai Changzheng Hospital, Shanghai 200003,China)
Following Swanson’s knowledge discovery method from non- interactive literatures, the authors propose a literature-based discovery method by applying NLP techniques to finding biomedical Unified Medical Language System(UMLS) concepts. And then the authors introduce semantic filter system and develop a non- interactive medicial literature-based mining tool,using Swanson’s discovery of connecting migraine with a magnesium deficiency to validate. Experiments show that this method can recur Swanson’s research results very well and find more worthful medi-words.
张晗,任志国,于倩,崔雷. 基于UMLS医学本体的挖掘文献间潜在联系的设计与实现[J]. 现代图书情报技术, 2007, 2(9): 72-75.
Zhang Han,Ren Zhiguo,Yu Qian,Cui Lei. Design and Implementation of Mining Indirect Connections Between Medical Complementary Literatures Based on UMLS. New Technology of Library and Information Service, 2007, 2(9): 72-75.
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