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New Technology of Library and Information Service  2006, Vol. 1 Issue (9): 49-52    DOI: 10.11925/infotech.1003-3513.2006.09.11
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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)
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Abstract  

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.
Key words： Knowledge extraction      Association rule      Subject heading      Semantic relation     
Received: 30 May 2006      Published: 25 September 2006
: 

TP311

 		 
Corresponding Authors: Zhang Han     E-mail: zhanghan@mail.cmu.edu.cn
About author:: Zhang Han,Lu Zhenyu,Cui Lei
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Cite this article:

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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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.09.11     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I9/49

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