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Data driven predictive analysis of complex data sets for determining decision outcomes

机译:用于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:提供了用于确定决策结果的复杂数据集的数据驱动预测分析的系统和方法。系统和方法包括获取与各个相关联的第一组数据并获得与事件相关联的第二组数据,其中,事件与至少一个人相关联。系统和方法还包括基于具有目标个体的共同属性的各个子集的各个子集和从基于第二子集确定第二组数据的第二子集的子集中的第一组中的各个子集中的各个子集。具有与目标个体相​​关联的目标事件具有共同属性的事件。另外,系统和方法包括基于目标事件与第二事件子集相关联的聚合数据,并提供与聚合数据相关联的显示输出。

著录项

  • 公开/公告号US11075011B2

    专利类型

  • 公开/公告日2021-07-27

    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;G16H70/20;G06Q30/02;G06F16/248;G06F16/242;G06F16/2455;G06F16/2457;G16H50/70;G16H50/20;G16H40/20;G16H10/60;

  • 国家 US

  • 入库时间 2022-08-24 20:10:51

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