Invention Grant
US09443002B1 Dynamic data analysis and selection for determining outcomes associated with domain specific probabilistic data sets
有权
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
- Patent Title: Dynamic data analysis and selection for determining outcomes associated with domain specific probabilistic data sets
- Patent Title (中): 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
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Application No.: US14796946Application Date: 2015-07-10
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Publication No.: US09443002B1Publication Date: 2016-09-13
- Inventor: Nate Freese , Owen Tripp , Evan Richardson
- Applicant: Grand Rounds, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Grand Rapids, Inc.
- Current Assignee: Grand Rapids, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06F17/30 ; G06N7/00

Abstract:
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.
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