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Large-scale information collection and mining

机译:大规模信息采集与挖掘

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.
机译:本文描述的方法/系统有助于大规模数据收集和聚集。有助于大规模报告健康相关数据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中大规模收集与健康相关的数据。该数据库可以存储至少一些与健康有关的数据。聚合组件可以至少部分地通过对数据库应用一种或多种统计,数据挖掘或机器学习技术来促进从健康相关数据中自动确定至少一种模式。从宏观尺度上获得的信息中提取健康观察结果的一种示例性方法包括:接收有关多个自选对象的信息,合并信息,至少部分地通过采用数据挖掘算法来推断一个或多个信息来挖掘所收集的信息。从汇总信息中获取更多健康观察结果,并通过一个或多个健康观察结果获利。

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