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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.
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Received: 30 May 2006
Published: 25 September 2006
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Corresponding Authors:
Zhang Han
E-mail: zhanghan@mail.cmu.edu.cn
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| About author:: Zhang Han,Lu Zhenyu,Cui Lei |
| 1史忠植.知识发现.北京：清华大学出版社，2002.57-61
2Doddi S, Marathe A, Ravi SS et al. Discovery of association rules in medical data. Med Inform Internet Med, 2001,26(1):25-33
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4Powsner SM ，Riely CA，Barwick KW ，Marrow JS，Miller PL．Automated bibliographic retrieval based on current topics in hepatology:Hepatopix. Comput Biomed Res, 1989(22):552-64
5邵峰晶，于忠清编著. 数据挖掘——原理与算法.北京：中国水利水电出版社，2003.91-98
6崔雷，李丹，冯博. 运用主题词/副主题词关联规则在医学文献检索系统中抽取知识的尝试. 情报学报，2005,24(6):657-662 |
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