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:
Dec. 07, 2021

Filed:

May. 31, 2017
Applicant:

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

Inventors:

Kathryn L. Howard, Boston, MA (US);

Hyuna Yang, Somerville, MA (US);

Gigi Yuen-Reed, Tampa, FL (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 10/60 (2018.01); G06N 20/00 (2019.01); G16H 40/63 (2018.01); G16H 40/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 50/20 (2018.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01);
Abstract

A method, a computing system and a computer program product are provided. A model is generated and trained. The model is based on clinical data with outcomes from clinically-defined hierarchical metadata in a selected level of clinically-defined hierarchical metadata serving as an initial set of prediction targets. A score is determined for each of the prediction targets based on the generated model and the set of evaluation factors. The set of prediction targets, the generated model, and the scores for the set of prediction targets are updated until the updated scores for the updated set of prediction targets satisfy acceptance criteria. The updated generated model, using the updated set of prediction targets, is applied to predict one of a set of updated prediction targets of mutually exclusive outcome categories.


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