标题:The Health Care Fraud Detection Using the Pharmacopoeia Spectrum Tree and Neural Network Analytic Contribution Hierarchy Process
作者:Peng, Hao; You, Mengzhuo
通讯作者:Peng, H
作者机构:[Peng, Hao; You, Mengzhuo] Shandong Univ, Sch Comp Sci & Technol, Natl Engn Lab Ecommerce, Jinan, Peoples R China.
会议名称:15th IEEE Int Conf on Trust, Security and Privacy in Comp and Commun / 10th IEEE Int Conf on Big Data Science and Engineering / 14th IEEE Int Symposium on Parallel and Distributed Proc with Applicat (IEEE Trustcom/BigDataSE/ISPA)
会议日期:AUG 23-26, 2016
来源:2016 IEEE TRUSTCOM/BIGDATASE/ISPA
出版年:2016
页码:2006-2011
DOI:10.1109/TrustCom/2016.304
关键词:healthcare; neural network; hierarchical contribution analysis; the; pharmacopoeia spectrum tree
摘要:Recent years, data mining has used frequently for medical fraud detection and neural network has its special merit. This paper proposed an improved neural network algorithm to detect the medical insurance fraud. Our method combined MPL neural network with neural network analytic contribution hierarchy process and make corresponding improvement according to the characteristics of the medical insurance fraud: (1) build a pharmacopoeia spectrum tree, using neural network analytic contribution hierarchy process to cluster the medical items to obtain reasonable fraud detection factor; (2) for each case, use the method of hierarchy contribution rate and multidimensional space distance to calculate the contribution rate of fraud the fraud detection factor have in the medical items, so as to find out the most possible fraud medical items. Our experiment results show that the accuracy of the improved neural network in health care fraud detection reached 86%, which is better than other unsupervised data mining methods. What is more, our method can calculate each fraud detection factor's contribution rate of fraud, which is the ability that other data mining methods do not have.
收录类别:CPCI-S
资源类型:会议论文
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