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.

Patent No.:

US 10803144 B1

PDF
Full Text
Expired
Date of Patent:
Oct. 13, 2020

Filed:

May. 06, 2014
Applicant:

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

Inventors:

Jianying Hu, Bronx, NY (US);

Robert K. Sorrentino, Rye Brook, NY (US);

Fei Wang, Ossining, NY (US);

Ping Zhang, White Plains, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G06F 19/00 (2018.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 19/326 (2013.01); G06F 19/3456 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01);
Abstract

A processor-implemented method, computer program product and system are provided for predicting drug-drug interactions based on clinical side effects. The method includes constructing a drug-drug interactions training dataset that includes pharmaceutical, pharmacokinetic or pharmacodynamics drug-drug interactions from multiple data sources for each of a plurality of drugs. The method also includes constructing side effect features for each of the drugs from side effects associated with the drugs. The method further includes building, using the drug-drug interactions training dataset, a drug-drug interactions classifier that predicts adverse drug-drug interactions for drug pairs derivable from the drugs. The method additionally includes for each of the side effects, building a two-by-two table using the side effect features, and performing a Fisher's exact test using the two-by-two table to determine whether a given one of side effects is differentially shown between positive predicted drug-drug interactions and negative predicted drug-drug interactions.


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