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MEDICAL INSURANCE DATA PROCESSING METHOD AND APPARATUS BASED ON FIXED TIME WINDOW, AND DEVICE AND MEDIUM

机译:基于固定时间窗口的医疗保险数据处理方法和设备,以及设备和介质

摘要

The present application relates to the technical field of artificial intelligence, and is applied to the field of smart healthcare. Disclosed are a medical insurance data processing method and apparatus based on a fixed time window, and a device and a medium. The method comprises: acquiring trigger time points of medical insurance use events within a preset time period and the total number of times the medical insurance use events are triggered; displaying the medical insurance use events and the trigger time points thereof on a preset time axis, and acquiring a time interval between two adjacent medical insurance use events on the preset time axis; segmenting the preset time axis into several sub time axes according to a preset fixed time window and the time interval; recording a sub time axis including the maximum total number of medical insurance use events as a first sub time axis; determining, according to the preset fixed time window and a preset frequency determination method, a first densest frequency corresponding to the first sub time axis; and when the first densest frequency meets a preset frequency standard, warning that the medical insurance use events within the preset time period are abnormal. By means of the present application, the efficiency of processing abnormal data is improved.
机译:本申请涉及人工智能技术领域,并应用于智能医疗保健领域。公开了一种基于固定时间窗口的医疗保险数据处理方法和装置,以及设备和介质。该方法包括:获取预设时间段内的医疗保险使用事件的触发时间点,并且触发医疗保险事件的总次数;在预设的时间轴上显示医疗保险使用事件和其触发时间点,并在预设的时间轴上获取两个相邻的医疗保险使用事件之间的时间间隔;将预设的时间轴分割成几个子时轴,根据预设的固定时间窗口和时间间隔;记录子时间轴,包括最大医疗保险总数的事件作为第一子时间轴;确定,根据预设的固定时间窗口和预设频率确定方法,与第一子时间轴对应的第一密度最密度频率;并且当第一次密度频率符合预设频率标准时,警告预设时间段内的医疗保险事件是异常的。通过本申请,改善了处理异常数据的效率。

著录项

  • 公开/公告号WO2021151332A1

    专利类型

  • 公开/公告日2021-08-05

    原文格式PDF

  • 申请/专利权人 PING AN TECHNOLOGY (SHENZHEN) CO. LTD.;

    申请/专利号WO2020CN124408

  • 发明设计人 JIANG XUEHAN;SUN XINGZHI;

    申请日2020-10-28

  • 分类号G06Q40/08;

  • 国家 CN

  • 入库时间 2022-08-24 20:23:27

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