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:
Sep. 08, 2020

Filed:

Jan. 05, 2016
Applicant:

Cincinnati Children's Hospital Medical Center, Cincinnati, OH (US);

Inventors:

Bruce Aronow, Cincinnati, OH (US);

Mayur Sarangdhar, Cincinnatti, OH (US);

Scott Carl Tabar, Hamilton, OH (US);

Anil Goud Jegga, West Chester, OH (US);

Assignee:

CHILDREN'S HOSPITAL MEDICAL CENTER, Cincinnati, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 19/00 (2018.01); G06F 16/2458 (2019.01); G06Q 50/22 (2018.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
G06F 19/326 (2013.01); G06F 16/2465 (2019.01); G06Q 50/22 (2013.01); G16H 10/60 (2018.01);
Abstract

A current system allows data-driven hypothesis generation to identify therapeutic candidates for a disease phenotype treatment by identifying drugs and clinical indications associated with lower occurrences of disease-associated phenotype(s) by a drug/drug class. A current system may include a pharmaceutical hierarchical ontology; a phenotype hierarchical ontology; a record database comprising clinical event records; a database mining engine; and a mapping engine. The database mining engine may iteratively progress through a portion of the pharmacological hierarchical ontology and phenotype hierarchical ontology to iteratively select pairs of cohort entries from each ontology; and for each pair of cohort entries, query the clinical record database for matching records. The mapping engine may map each pair of cohort entries into a matrix comprising a drug-event cell for each pair and apply a value thereto representing the number of database records matching items returned by the database mining engine for the corresponding cohort entries.


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