首页> 外国专利> UNSUPERVISED METHOD OF IDENTIFYING ABERRANT BEHAVIOR BY AN ENTITY WITH RESPECT TO HEALTHCARE CLAIM TRANSACTIONS AND ASSOCIATED COMPUTER SOFTWARE PROGRAM PRODUCT, COMPUTER DEVICE, AND SYSTEM

UNSUPERVISED METHOD OF IDENTIFYING ABERRANT BEHAVIOR BY AN ENTITY WITH RESPECT TO HEALTHCARE CLAIM TRANSACTIONS AND ASSOCIATED COMPUTER SOFTWARE PROGRAM PRODUCT, COMPUTER DEVICE, AND SYSTEM

机译:通过有关卫生保健索赔交易以及相关计算机软件程序产品,计算机设备和系统的实体来识别异常行为的未经监督的方法

摘要

An unsupervised method of identifying aberrant behavior by an entity with respect to healthcare claim transactions is provided. A coordinate space is defined with a dimensionality corresponding to a number of selected ranked variables defining a representative behavior of a peer group with respect to a reference source of claim transactions, the peer group comprising a plurality of entites. A central tendency of the representative behavior is then determined from the claim transactions of the reference source, as a result of the selected ranked variables being applied thereto, and with respect to the coordinate space. The selected ranked variables are then applied to a new source of claim transactions for entites corresponding to the peer group so as to define a corresponding element for each entity. After mapping the elements with respect to the coordinate space, a score is then determined for each element with respect to the central tendency. A threshold criteria is then applied to the scores such that a threshold-exceeding score indicates an aberrant behavior by the corresponding entity. An associated computer software program product, computer device, and system are also provided.
机译:提供了一种用于识别实体关于医疗保健索赔交易的异常行为的无监督方法。定义坐标空间的维数对应于多个选定的排序变量,这些变量定义了对等组相对于索赔交易的参考来源的代表行为,对等组包括多个实体。然后,由于将选定的排名变量应用到参考源并相对于坐标空间,从参考源的索赔交易中确定代表行为的主要趋势。然后,将选定的排序变量应用于与对等组相对应的实体的新的索赔事务处理源,以便为每个实体定义相应的元素。在相对于坐标空间映射元素之后,然后针对每个元素相对于中心趋势确定分数。然后将阈值标准应用于分数,使得超过阈值的分数指示相应实体的异常行为。还提供了相关的计算机软件程序产品,计算机设备和系统。

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