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公开(公告)号：US07647285B2
公开(公告)日：2010-01-12
申请号：US11556085
申请日：2006-11-02
摘要： A tool for providing health and/or wellness services is described herein. Not necessarily clean or unclean data about a plurality of self-selected or non-selected or unselected subjects is received. The data can be aggregated and mined at least in part by employing a statistical algorithm, a data-mining algorithm and/or a machine-learning algorithm. The data can be further employed to provide health and/or wellness services to participants.
摘要翻译： 本文描述了用于提供健康和/或健康服务的工具。 不一定接收到关于多个自选或未选择的对象的干净或不洁净的数据。 数据可以至少部分地通过采用统计算法，数据挖掘算法和/或机器学习算法进行聚合和挖掘。 数据可以进一步用于向参与者提供健康和/或健康服务。
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公开(公告)号：US07814035B2
公开(公告)日：2010-10-12
申请号：US12180705
申请日：2008-07-28
CPC分类号： G06N99/005 , G06F19/00 , G06Q10/10 , G06Q50/24 , G16H50/20
摘要： The methods/systems described herein facilitate large-scale data collection and aggregation. One exemplary system that facilitates large-scale reporting of health-related data comprises a data collection component, a database and an aggregation component. The data collection component can collect health-related data on a large-scale from a non-selected population. The database can store at least some of the health-related data. The aggregation component can facilitate automatically ascertaining at least one pattern from the health-related data at least in part by applying one or more statistical, data-mining or machine-learning techniques to the database. One exemplary method of extracting health observations from information obtained on a macro-scale comprises receiving information about a plurality of self-selected subjects, pooling the information, mining the pooled information at least in part by employing a data-mining algorithm to infer one or more health observations from the pooled information, and monetizing the one or more health observations.
摘要翻译： 这里描述的方法/系统有助于大规模数据收集和聚合。 促进健康相关数据的大规模报告的一个示例性系统包括数据收集组件，数据库和聚合组件。 数据收集组件可以从非选定人群大规模收集健康相关数据。 数据库可以存储至少一些健康相关数据。 聚合组件可以至少部分地通过将一个或多个统计，数据挖掘或机器学习技术应用于数据库来自动地从健康相关数据确定至少一个模式。 从在宏观尺度上获得的信息中提取健康观测的一个示例性方法包括：接收关于多个自选择对象的信息，汇集信息，至少部分地通过采用数据挖掘算法推断出一个或多个 从汇集的信息中获得更多的健康意见，并通过一个或多个健康观察获利。
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公开(公告)号：US20080294465A1
公开(公告)日：2008-11-27
申请号：US12180705
申请日：2008-07-28
IPC分类号： G06Q50/00
CPC分类号： G06N99/005 , G06F19/00 , G06Q10/10 , G06Q50/24 , G16H50/20
摘要： The methods/systems described herein facilitate large-scale data collection and aggregation. One exemplary system that facilitates large-scale reporting of health-related data comprises a data collection component, a database and an aggregation component. The data collection component can collect health-related data on a large-scale from a non-selected population. The database can store at least some of the health-related data. The aggregation component can facilitate automatically ascertaining at least one pattern from the health-related data at least in part by applying one or more statistical, data-mining or machine-learning techniques to the database. One exemplary method of extracting health observations from information obtained on a macro-scale comprises receiving information about a plurality of self-selected subjects, pooling the information, mining the pooled information at least in part by employing a data-mining algorithm to infer one or more health observations from the pooled information, and monetizing the one or more health observations.
摘要翻译： 这里描述的方法/系统有助于大规模数据收集和聚合。 促进健康相关数据的大规模报告的一个示例性系统包括数据收集组件，数据库和聚合组件。 数据收集组件可以从非选定人群大规模收集健康相关数据。 数据库可以存储至少一些健康相关数据。 聚合组件可以至少部分地通过将一个或多个统计，数据挖掘或机器学习技术应用于数据库来自动地从健康相关数据确定至少一个模式。 从在宏观尺度上获得的信息中提取健康观测的一个示例性方法包括：接收关于多个自选择对象的信息，汇集信息，至少部分地通过采用数据挖掘算法推断出一个或多个 从汇集的信息中获得更多的健康意见，并通过一个或多个健康观察获利。
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公开(公告)号：US07406453B2
公开(公告)日：2008-07-29
申请号：US11266974
申请日：2005-11-04
CPC分类号： G06N99/005 , G06F19/00 , G06Q10/10 , G06Q50/24 , G16H50/20
摘要： The methods/systems described herein facilitate large-scale data collection and aggregation. One exemplary system that facilitates large-scale reporting of health-related data comprises a data collection component, a database and an aggregation component. The data collection component can collect health-related data on a large-scale from a non-selected population. The database can store at least some of the health-related data. The aggregation component can facilitate automatically ascertaining at least one pattern from the health-related data at least in part by applying one or more statistical, data-mining or machine-learning techniques to the database. One exemplary method of extracting health observations from information obtained on a macro-scale comprises receiving information about a plurality of self-selected subjects, pooling the information, mining the pooled information at least in part by employing a data-mining algorithm to infer one or more health observations from the pooled information, and monetizing the one or more health observations.
摘要翻译： 这里描述的方法/系统有助于大规模数据收集和聚合。 促进健康相关数据的大规模报告的一个示例性系统包括数据收集组件，数据库和聚合组件。 数据收集组件可以从非选定人群大规模收集健康相关数据。 数据库可以存储至少一些健康相关数据。 聚合组件可以至少部分地通过将一个或多个统计，数据挖掘或机器学习技术应用于数据库来自动地从健康相关数据确定至少一个模式。 从在宏观尺度上获得的信息中提取健康观测的一个示例性方法包括：接收关于多个自选择对象的信息，汇集信息，至少部分地通过采用数据挖掘算法推断出一个或多个 从汇集的信息中获得更多的健康意见，并通过一个或多个健康观察获利。
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