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Data Mining Technique for Opinion Retrieval in Healthcare System

机译:保健系统中意见检索的数据挖掘技术

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The aim of this paper is to use Text mining(TM) concepts in the field of Health care System. We no thatnow days decision making in health care involves number of opinions given by the group of medicalexperts for specific disease in the form of decisions which will be presented in medical database in the formof text. These decisions are then mined from database with the help of Data Mining techniques. Textdocument clustering is considered as tool for performing information based operations. For clusteringnormally K-means clustering technique is used. In this paper we use Bisecting K-means clusteringtechnique and it is better compared to traditional K-means technique. The objective is to study the revealedgroupings of similar opinion-types associated with the likelihood of physicians and medical experts.
机译:本文的目的是在医疗保健系统领域中使用Text mining(TM)概念。如今,我们在卫生保健方面的决策还没有涉及医疗专家组针对特定疾病提出的许多决策形式的意见,这些意见将以文本形式在医学数据库中呈现。然后借助数据挖掘技术从数据库中挖掘这些决策。文本文档群集被视为执行基于信息的操作的工具。对于聚类,通常使用K均值聚类技术。在本文中,我们使用了二等分K均值聚类技术,它比传统的K均值技术更好。目的是研究与医师和医学专家的可能性相关的相似意见类型的揭示群体。

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