The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 12, 2010

Filed:

Jul. 28, 2008
Applicants:

Craig J. Mundie, Redmond, WA (US);

David E. Heckerman, Bellevue, WA (US);

Nebojsa Jojic, Redmond, WA (US);

Randy J. Hinrichs, Sammamish, WA (US);

Inventors:

Craig J. Mundie, Redmond, WA (US);

David E. Heckerman, Bellevue, WA (US);

Nebojsa Jojic, Redmond, WA (US);

Randy J. Hinrichs, Sammamish, WA (US);

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06F 15/18 (2006.01); G06G 7/00 (2006.01);
U.S. Cl.
CPC ...
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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