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1. 发明授权

US09378271B2 Database system for analysis of longitudinal data sets 有权
标题翻译：纵向数据集分析数据库系统
公开(公告)号：US09378271B2
公开(公告)日：2016-06-28
申请号：US14083406
申请日：2013-11-18
申请人： Aetion, Inc.
发明人： Jeremy Rassen , Allon Rauer , Sebastian Schneeweiss
IPC分类号： G06F17/30 , G06F19/00
CPC分类号： G06F17/30619 , G06F17/30324 , G06F17/30634 , G06F19/00 , G16H10/60 , G16H50/70
摘要： A database system performs analytics on longitudinal data, such as medical histories with events occurring to patients over time. Input data is processed into streams of events. A set of indexes of event characteristics is generated. A set of patient event histories, partitioned by patient, is generated. Several copies of event data are stored, each copy being structured to support a specific analytical task. Data is partitioned and distributed over several hardware nodes to allow parallel queries. Definitions of sets of candidate patients are translated into sets of filters applied to the set of indexes. Data for these candidates are input to analytical modules. Reports from analysis are automatically generated to be compatible with standard guidelines for reporting. Workflows support one task or a set of closely related tasks by offering the user a defined sequence of query options and analytic choices specifically arranged for the task.
摘要翻译：数据库系统对纵向数据执行分析，例如随着时间的过去，患者发生事件的病史。输入数据被处理成事件流。生成一组事件特征的索引。产生一组由患者分隔的患者事件历史。存储事件数据的几个副本，每个副本被构造为支持特定的分析任务。数据被分割并分布在几个硬件节点上以允许并行查询。将候选患者组的定义转换为应用于该组索引的过滤器组。这些候选人的数据被输入到分析模块。分析报告自动生成，以符合标准报告准则。工作流通过为用户提供一个定义的查询选项顺序和专门为任务安排的分析选择来支持一个任务或一组紧密相关的任务。

2. 发明申请

US20150142821A1 DATABASE SYSTEM FOR ANALYSIS OF LONGITUDINAL DATA SETS 有权
标题翻译：用于分析数据集的数据库系统
公开(公告)号：US20150142821A1
公开(公告)日：2015-05-21
申请号：US14083406
申请日：2013-11-18
申请人： Aetion, Inc.
发明人： Jeremy Rassen , Allon Rauer , Sebastian Schneeweiss
IPC分类号： G06F17/30 , G06F19/00
CPC分类号： G06F17/30619 , G06F17/30324 , G06F17/30634 , G06F19/00 , G16H10/60 , G16H50/70
摘要： A database system performs analytics on longitudinal data, such as medical histories with events occurring to patients over time. Input data is processed into streams of events. A set of indexes of event characteristics is generated. A set of patient event histories, partitioned by patient, is generated. Several copies of event data are stored, each copy being structured to support a specific analytical task. Data is partitioned and distributed over several hardware nodes to allow parallel queries. Definitions of sets of candidate patients are translated into sets of filters applied to the set of indexes. Data for these candidates are input to analytical modules. Reports from analysis are automatically generated to be compatible with standard guidelines for reporting. Workflows support one task or a set of closely related tasks by offering the user a defined sequence of query options and analytic choices specifically arranged for the task.
摘要翻译：数据库系统对纵向数据执行分析，例如随着时间的过去，患者发生事件的病史。输入数据被处理成事件流。生成一组事件特征的索引。产生一组由患者分隔的患者事件历史。存储事件数据的几个副本，每个副本被构造为支持特定的分析任务。数据被分割并分布在几个硬件节点上以允许并行查询。将候选患者组的定义转换为应用于该组索引的过滤器组。这些候选人的数据被输入到分析模块。分析报告自动生成，以符合标准报告准则。工作流通过为用户提供一个定义的查询选项顺序和专门为任务安排的分析选择来支持一个任务或一组紧密相关的任务。

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