Large-scale information collection and mining
First Claim
1. A system that facilitates large-scale reporting of health-related data, comprising:
- a data collection component to collect health-related data on a large-scale relating to a non-selected population;
a database to store at least some of the health-related data; and
an aggregation component to facilitate automatically ascertaining at least one pattern from the health-related data, the aggregation component automatically ascertaining the at least one pattern from the health-related data at least in part by applying one or more of a statistical technique, a data mining technique and a machine-learning technique to the database.
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Accused Products
Abstract
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.
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Citations
20 Claims
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1. A system that facilitates large-scale reporting of health-related data, comprising:
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a data collection component to collect health-related data on a large-scale relating to a non-selected population;
a database to store at least some of the health-related data; and
an aggregation component to facilitate automatically ascertaining at least one pattern from the health-related data, the aggregation component automatically ascertaining the at least one pattern from the health-related data at least in part by applying one or more of a statistical technique, a data mining technique and a machine-learning technique to the database. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method of extracting health observations from information obtained on a macro-scale, comprising:
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receiving information about a plurality of self-selected subjects;
pooling the information;
mining the pooled information at least in part by employing one or more of a statistical algorithm, a data-mining algorithm and a machine-learning algorithm to infer one or more health observations from the pooled information; and
monetizing the one or more health observations. - View Dependent Claims (17, 18, 19)
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20. An online system to facilitate global medical data analysis, comprising:
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means for obtaining medical data from a global, unselected population via the Internet; and
means for automatically drawing conclusions from the medical data, the means for automatically drawing conclusions from the medical data employing one or more of a statistical algorithm, a machine-learning algorithm, a data-mining algorithm and an artificial-intelligence algorithm to draw at least one conclusion from the medical data.
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Specification