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Analysis and Application of Data Mining in CRM Systems of Healthcare Insurance

机译:数据挖掘在医疗保险客户关系管理系统中的分析与应用

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Data mining techniques in Customer Relationship Management (CRM) has a very important role in the practice; it is an important means of gaining and maintaining customer information, and improving customer value. We have determined to compare a variety of techniques, approaches and different tools and its effect on the healthcare field. Data mining created new concept with customer relationship management where different companies can gain a reasonable advantage. The goal of data mining is to turn data into facts, figures, or text which can be processed by a computer into knowledge or information. The main reason of data mining application in healthcare systems is to create a mechanical tool for make out and distributes relevant healthcare information. The aim of this paper is to make a detailed study report of diverse types of data mining applications in the healthcare sector and to minimize the difficulty of healthcare data transactions. A relative study of different data mining applications, techniques and different methods applied for takeout knowledge from database produced in the healthcare industry.
机译:客户关系管理(CRM)中的数据挖掘技术在实践中起着非常重要的作用。它是获取和维护客户信息以及提高客户价值的重要手段。我们已决定比较各种技术,方法和不同的工具及其对医疗保健领域的影响。数据挖掘通过客户关系管理创建了新概念,使不同的公司可以获得合理的优势。数据挖掘的目的是将数据转换为事实,图形或文本,然后计算机可以将其处理为知识或信息。数据挖掘在医疗保健系统中应用的主要原因是创建一种机械工具,用于制定和分发相关的医疗保健信息。本文的目的是针对医疗保健行业中各种类型的数据挖掘应用程序进行详细的研究报告,并最大程度地减少医疗保健数据交易的难度。对不同数据挖掘应用程序,技术和不同方法的相对研究,这些应用程序用于从医疗保健行业产生的数据库中提取知识。

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