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:
Jan. 26, 2021

Filed:

May. 17, 2018
Applicant:

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

Inventors:

Ping Zhang, White Plains, NY (US);

Achille B. Fokoue-Nkoutche, White Plains, NY (US);

Sanjoy Dey, White Plains, NY (US);

Katherine Shen, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 20/10 (2018.01); G16H 70/40 (2018.01); A61B 5/00 (2006.01); G06N 7/00 (2006.01); G16C 20/70 (2019.01); G16C 20/90 (2019.01);
U.S. Cl.
CPC ...
G16H 20/10 (2018.01); A61B 5/4848 (2013.01); G06N 7/005 (2013.01); G16C 20/70 (2019.02); G16C 20/90 (2019.02); G16H 70/40 (2018.01);
Abstract

Embodiments of the present invention disclose a method, a computer program product, and a computer system for predicting drug and food interactions. A computer identifies one or more drug similarity measures between one or more drugs and one or more food similarity measures between one or more foods. In addition, the computer identifies one or more interactions between the one or more drugs and the one or more foods, then calculates one or more drug-food feature vectors based on the one or more interactions, the one or more drug similarity measures, and the one or more food similarity measures. Furthermore, the computer calculates a first probability indicating whether a first drug of the one or more drugs will interact with a first food of the one or more foods based on a model, wherein the model is trained based on the one or more drug-food feature vectors.


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