首页> 外国专利> DEVICE AND METHOD FOR INSURANCE UNFAIR CLAIM AND UNFAIR PATTERN DETECTION BASED ON ARTIFICIAL INTELLIGENCE

DEVICE AND METHOD FOR INSURANCE UNFAIR CLAIM AND UNFAIR PATTERN DETECTION BASED ON ARTIFICIAL INTELLIGENCE

机译:基于人工智能的不正当索赔和不正当形态检测保险的装置和方法

摘要

An artificial intelligence-based insurance claim and unfair pattern detection apparatus according to an embodiment of the present application includes a data preprocessing unit for deriving a characteristic variable by formalizing insurance claim details data, and detection based on an abnormality detection algorithm using the characteristic variable as an input. An outlier detection unit for detecting a normal pattern and an unfair pattern from the abnormal cluster, a new pattern classification unit for detecting a new pattern of unfair claims by performing unsupervised learning by inputting the normal pattern and the unfair pattern, and A new pattern detection unit that detects a pattern of new unfair claims by constructing a supervised learning-based pattern discrimination model that inputs new patterns and pre-classified insurance claim patterns as inputs, and supervised learning base that inputs the characteristic variables and normal claim data It may include an unfair claim determination unit that determines whether or not the details of new insurance claims are unfair by constructing a model for detecting unfair claims.
机译:根据本申请的实施例的基于人工智能的保险索赔和不公平模式检测设备包括数据预处理单元,该数据预处理单元用于通过使保险索赔明细数据形式化来导出特征变量,以及基于使用该特征变量作为特征的异常检测算法进行检测。输入。异常检测单元,用于从异常簇中检测正常模式和不公平模式;新模式分类单元,用于通过输入正常模式和不公平模式来执行无监督学习,从而检测不公平声明的新模式;以及新模式检测通过构建基于监督学习的模式歧视模型来检测新的不正当索赔模式的单元,该模型将输入新模式和预先分类的保险索赔模式作为输入,并监督监督学习库来输入特征变量和正常索赔数据。不正当索赔确定单元,通过构建用于检测不正当索赔的模型来确定新保险索赔的细节是否不正当。

著录项

  • 公开/公告号KR102153912B1

    专利类型

  • 公开/公告日2020-09-09

    原文格式PDF

  • 申请/专利权人 (주)위세아이텍;

    申请/专利号KR20200030094

  • 发明设计人 김지혁;안재형;

    申请日2020-03-11

  • 分类号G06Q10/10;G06N3/02;G06Q40/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:03:51

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