| 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 |
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| 引用本文： | 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. |
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| 作者姓名： | 张晗 路振宇 崔雷 |
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| 作者单位： | 1. 中国医科大学信息管理与信息系统(医学)系,沈阳,110001
2. 中国医科大学附属第二医院人力资源部,沈阳,110004 |
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| 摘 要： | 利用关联规则算法，对PubMed数据库中的4种抗肿瘤药物主题词和副主题词组配模式进行分析，并以文献和教科书标准，抽取出与这四类药有关的、有效的语义关系搭配模式，从而为文献检索和建立知识库提供依据。
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| 关 键 词： | 关联规则 主题词 语义关系 |
| 收稿时间： | 2006-05-30 |
| 修稿时间： | 2006-06-20 |
Knowledge Extraction from Medical Literature Database Using Association Rule Mining |
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| Zhang Han,Lu Zhenyu,Cui Lei.Knowledge Extraction from Medical Literature Database Using Association Rule Mining[J].New Technology of Library and Information Service,2006,1(9):49-52. |
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| Authors: | Zhang Han Lu Zhenyu Cui Lei |
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| Institution: | 1,Department of Information Management and Information System( Medical |
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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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| Keywords: | Knowledge extraction Association rule Subject heading Semantic relation |
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