公开(公告)号：US20090055150A1

公开(公告)日：2009-02-26

申请号：US12198036

申请日：2008-08-25

Applicant: Stephen D. PRIOR ,  Akhileswar Ganesh VAIDYANATHAN ,  Eli T. FAULKNER ,  Michael KOLB

Inventor： Stephen D. PRIOR ,  Akhileswar Ganesh VAIDYANATHAN ,  Eli T. FAULKNER ,  Michael KOLB

IPC: G06G7/50 ,  G06G7/48

CPC classification number: G06Q30/02 ,  G16H50/20 ,  G16H50/50

Abstract: The present invention provides a means for performing scalable, computationally efficient and rapid simulations of complex or complex adaptive systems realized through the dynamic interaction of multiple modeling components to generate outputs suited to decision support, analysis and planning. In the context of disease modeling, these outputs can be used for analyzing the impact of disease and the potential value of the use of pharmaceutical and non-pharmaceutical interventions.

Abstract translation: 本发明提供了一种用于通过多个建模组件的动态交互实现的复杂或复杂自适应系统的可伸缩的，计算上有效和快速的模拟，以产生适合于决策支持，分析和规划的输出的手段。 在疾病建模的背景下，这些产出可用于分析疾病的影响以及使用药物和非药物干预措施的潜在价值。

公开(公告)号：US20120004893A1

公开(公告)日：2012-01-05

申请号：US12556591

申请日：2009-09-10

Applicant: Akhileswar Ganesh VAIDYANATHAN ,  Stephen D. PRIOR ,  Jijun Wang ,  Bin Yu

Inventor： Akhileswar Ganesh VAIDYANATHAN ,  Stephen D. PRIOR ,  Jijun Wang ,  Bin Yu

IPC: G06G7/58 ,  G06G7/48 ,  G06F17/30

CPC classification number: G06K9/6231 ,  G06F19/326 ,  G06F19/3456 ,  G06K9/00147 ,  G06K9/62 ,  G06K2209/05 ,  G06N3/02 ,  G06N3/126 ,  G06N5/003 ,  G06N7/005 ,  G16H50/50 ,  G16H50/70

Abstract: The present invention relates to a method for the automatic identification of at least one informative data filter from a data set that can be used to identify at least one relevant data subset against a target feature for subsequent hypothesis generation, model building and model testing. The present invention describes methods, and an initial implementation, for efficiently linking relevant data both within and across multiple domains and identifying informative statistical relationships across this data that can be integrated into agent-based models. The relationships, encoded by the agents, can then drive emergent behavior across the global system that is described in the integrated data environment.

Abstract translation: 本发明涉及一种用于从数据集中自动识别至少一个信息数据过滤器的方法，该数据集可用于识别针对目标特征的至少一个相关数据子集用于随后的假设生成，模型构建和模型测试。 本发明描述了用于有效地链接多个域内和跨多个域之间的相关数据的方法和初始实现，并且识别可跨越基于代理的模型的该数据之间的信息性统计关系。 然后由代理编码的关系可以在集成数据环境中描述的全局系统中驱动紧急行为。