LARGE-SCALE INFORMATION COLLECTION AND MINING
2 Assignments
0 Petitions
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
40 Claims
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1-20. -20. (canceled)
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21. A system for collecting and mining large amounts of data comprising:
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a data collection component that collects data on a large-scale from a non-selected population; a database that receives the collected data; and an aggregation component that aggregates the collected data and discerns one or more patterns in the data by applying a machine-learning algorithm to the database. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28)
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29. A method of mining data for discerning one or more patterns comprising:
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receiving data from a plurality of data sources associated with one or more self selected subjects; pooling the received data; applying a machine learning algorithm to mine the received data; and discerning one or more patterns existing within the received data. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37)
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38. A system for mining data related to a non-selected population, comprising:
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means for collecting data on a large-scale from the non-selected population; means for receiving the collected data; and means for discerning one or more patterns in the data by applying a machine-learning algorithm to the receiving means. - View Dependent Claims (39, 40)
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Specification