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:
Jul. 27, 2021

Filed:

Nov. 30, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Cheryl Eifert, Watertown, MA (US);

Joel C. Dubbels, Rochester, MN (US);

Jeffrey Bernard Nowicki, Oronoco, MN (US);

Claudia S. Huettner, Jamaica Plain, MA (US);

Jia Xu, Somerville, MA (US);

Fang Wang, Plano, TX (US);

Kirk A. Beaty, Goldens Bridge, NY (US);

Vanessa Michelini, Boca Raton, FL (US);

Marta Sanchez-Martin, Somerville, MA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 40/295 (2020.01); G06K 9/00 (2006.01); G06F 40/247 (2020.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 40/247 (2020.01); G06F 40/295 (2020.01); G06K 9/00469 (2013.01); G06K 2209/01 (2013.01);
Abstract

Computer based methods, systems, and computer readable media for classifying documents within a content repository or documents within the document subsets are provided. Documents may be pre-processed to render document sections visible to machine readers. Document subsets may be generated based on user-defined terms. The machine readable documents may be classified within the content repository into one of a group of categories, based-upon the number of times classification terms appear in a specific document section of the document. Documents may be ranked based upon the frequency of classification terms in the specific section. Documents may be associated with specific diseases such as cancer, genes, gene variants, and drugs or synonyms thereof by comparing relevant search terms to specific sections of the documents.


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