| 数据挖掘技术在医疗费用异常检测中的应用 |
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| 引用本文： | 王凯,魏善沛,章景.数据挖掘技术在医疗费用异常检测中的应用[J].计算机与现代化,2012(3):194-196,199. |
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| 作者姓名： | 王凯 魏善沛 章景 |
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| 作者单位： | 中南林业科技大学计算机与信息工程学院 |
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| 基金项目： | 湖南教育厅研究项目(08C943) |
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| 摘 要： | 对医疗费用的异常检测做出一个分析方案。通过SQL Server 2008挖掘平台,利用期望最大化数据挖掘算法,结合小概率事件原理对医疗费用是否异常做检测分析,并把结果通过报表展示出来。该方案能够对医疗费用数据从总体上进行挖掘,提高数据分析效率,并且为医疗异常费用的稽查提供有力的依据。
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| 关 键 词： | 数据挖掘 期望最大化算法 多维数据集 小概率事件 |
Application of Data Mining Technology in Detection of Abnormal Medical Expenses |
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| WANG Kai,WEI Shan-pei,ZHANG Jing.Application of Data Mining Technology in Detection of Abnormal Medical Expenses[J].Computer and Modernization,2012(3):194-196,199. |
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| Authors: | WANG Kai WEI Shan-pei ZHANG Jing |
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| Affiliation: | (Dept.of Computer and Information Engineering,Central South University of Forestry & Technology,Changsha 410004,China) |
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| Abstract: | This paper makes an analysis method for the detection of abnormal medical expenses.It uses expectation maximization algorithm of SQL Server 2008 data mining platform,combines with small probability events principle to analyze the data of medical expenses.At last it shows the results with the statements of reporting services.This method can mine the data of medical expense in general,it improves the efficiency of data analysis and provides effective evidence for the auditing abnormal expense of medical. |
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| Keywords: | data mining expectation maximization algorithm multi-dimension data small probability events |
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