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1. 发明授权

US09443002B1 Dynamic data analysis and selection for determining outcomes associated with domain specific probabilistic data sets 有权
标题翻译：用于确定与领域特定概率数据集相关的结果的动态数据分析和选择
公开(公告)号：US09443002B1
公开(公告)日：2016-09-13
申请号：US14796946
申请日：2015-07-10
申请人： Grand Rounds, Inc.
发明人： Nate Freese , Owen Tripp , Evan Richardson
IPC分类号： G06F15/18 , G06F17/30 , G06N7/00
CPC分类号： G06F17/30598 , G06F17/3053 , G06F19/00 , G06N7/005 , G16H50/20 , G16H50/50
摘要： Computer-implemented systems and methods are disclosed for analyzing and selecting data to estimate the potential weight associated with an event. The systems and methods provide for obtaining data sets associated with a first event and events that can result from the first event, classifying the data into weight data related to a weight associated with the resulting events and probability data related to the probability that the resulting events will occur, prioritizing the data based on the availability the data sets, prioritizing the probability data based on a statistical analysis of the relevance of the probability data, analyzing the prioritized weight data to establish weight estimates for the resulting events, analyzing the prioritized probability data to establish probability estimates for the resulting events, and providing for display a decision tree with the established weight estimates and probability estimates.
摘要翻译：公开了用于分析和选择数据以估计与事件相关联的潜在权重的计算机实现的系统和方法。所述系统和方法提供用于获得与第一事件相关联的数据集以及可能由第一事件产生的事件，将数据分类为与产生的事件相关联的权重的重量数据，以及与所得到的事件的概率相关的概率数据将基于数据集的可用性对数据进行优先排序，基于对概率数据的相关性的统计分析对概率数据进行优先排序，分析优先权重数据以建立所得事件的权重估计，分析优先化概率数据为所得到的事件建立概率估计，并提供显示具有确定的权重估计和概率估计的决策树。

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