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DATA DRIVEN PREDICTIVE ANALYSIS OF COMPLEX DATA SETS FOR DETERMINING DECISION OUTCOMES

机译:确定决策结果的复杂数据集的数据驱动预测分析

摘要

Systems and methods are provided for data driven predictive analysis of complex data sets for determining decision outcomes. The systems and methods include obtaining a first set of data associated with individuals and obtaining, a second set of data associated with events, wherein the events are associated with at least one of the individuals. The systems and methods further include determining a subset of the individuals from the first set of data based on the first subset of individuals having common attributes with a target individual and determining a second subset of events from the second set of data based on the second subset of events having common attributes with the target events associated with the target individual. Additionally, the systems and methods include aggregating data associated with the second subset of events based on the target events and providing for display output associated with aggregated data.
机译:提供了用于对复杂数据集进行数据驱动的预测分析以确定决策结果的系统和方法。该系统和方法包括获得与个人相关联的第一数据集以及获得与事件相关联的第二数据集,其中事件与个人中的至少一个相关联。该系统和方法还包括:基于与目标个体具有共同属性的个体的第一子集,从第一数据集确定个体的子集;以及基于第二子集,从第二数据集确定事件的第二子集。具有与目标个人相关联的目标事件具有共同属性的事件。另外,该系统和方法包括基于目标事件来聚集与事件的第二子集相关联的数据,并提供与聚集的数据相关联的显示输出。

著录项

  • 公开/公告号US2020175007A1

    专利类型

  • 公开/公告日2020-06-04

    原文格式PDF

  • 申请/专利权人 GRAND ROUNDS INC.;

    申请/专利号US202016785503

  • 申请日2020-02-07

  • 分类号G06F16/248;G06Q30/02;G06F16/242;G06F16/2455;G06F16/2457;G16H50/70;G16H50/20;G06Q50/22;

  • 国家 US

  • 入库时间 2022-08-21 11:19:49

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