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:
Feb. 03, 2015

Filed:

Jun. 19, 2009
Applicants:

R. Bharat Rao, Berwyn, PA (US);

Sathyakama Sandilya, London, GB;

Christopher Jude Amies, Pleasant Hill, CA (US);

Radu Stefan Niculescu, Malvern, PA (US);

Arun Kumar Goel, Woodbridge, NJ (US);

Thomas R. Warrick, Wayne, PA (US);

Inventors:

R. Bharat Rao, Berwyn, PA (US);

Sathyakama Sandilya, London, GB;

Christopher Jude Amies, Pleasant Hill, CA (US);

Radu Stefan Niculescu, Malvern, PA (US);

Arun Kumar Goel, Woodbridge, NJ (US);

Thomas R. Warrick, Wayne, PA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/60 (2006.01); G06F 17/10 (2006.01); G06F 19/00 (2011.01); G06F 17/30 (2006.01); G06Q 10/10 (2012.01); G06Q 50/22 (2012.01); G06Q 50/24 (2012.01);
U.S. Cl.
CPC ...
G06F 19/325 (2013.01); G06F 17/3061 (2013.01); G06F 19/322 (2013.01); G06F 19/324 (2013.01); G06F 19/327 (2013.01); G06F 19/3431 (2013.01); G06F 19/3437 (2013.01); G06F 19/3443 (2013.01); G06F 19/3481 (2013.01); G06F 19/3487 (2013.01); G06F 19/363 (2013.01); G06Q 10/10 (2013.01); G06Q 50/22 (2013.01); G06Q 50/24 (2013.01); G06F 19/321 (2013.01); G06F 19/328 (2013.01); G06F 19/3406 (2013.01); G06F 19/3418 (2013.01); G06F 19/345 (2013.01); Y10S 128/92 (2013.01);
Abstract

The present invention provides a data mining framework for mining high-quality structured clinical information. The data mining framework includes a data miner that mines medical information from a computerized patient record (CPR) based on domain-specific knowledge contained in a knowledge base. The data miner includes components for extracting information from the CPR, combining all available evidence in a principled fashion over time, and drawing inferences from this combination process. The mined medical information is stored in a structured CPR which can be a data warehouse.


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