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    • 2. 发明授权
    • Large-scale information collection and mining
    • 大型信息采集和挖掘
    • US07814035B2
    • 2010-10-12
    • US12180705
    • 2008-07-28
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • G06E1/00G06E3/00G06F15/18G06G7/00
    • G06N99/005G06F19/00G06Q10/10G06Q50/24G16H50/20
    • 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.
    • 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。
    • 3. 发明申请
    • LARGE-SCALE INFORMATION COLLECTION AND MINING
    • 大规模信息采集和采矿
    • US20080294465A1
    • 2008-11-27
    • US12180705
    • 2008-07-28
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • G06Q50/00
    • G06N99/005G06F19/00G06Q10/10G06Q50/24G16H50/20
    • 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.
    • 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。
    • 4. 发明授权
    • Large-scale information collection and mining
    • 大型信息采集和挖掘
    • US07406453B2
    • 2008-07-29
    • US11266974
    • 2005-11-04
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • G06E1/00G06E3/00G06F15/18G06G7/00
    • G06N99/005G06F19/00G06Q10/10G06Q50/24G16H50/20
    • 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.
    • 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。