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:
Feb. 24, 2026

Filed:

Oct. 08, 2021
Applicants:

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

The General Hospital Corporation, Boston, MA (US);

Inventors:

Bum Chul Kwon, Cambridge, MA (US);

Uri Kartoun, Cambridge, MA (US);

Shaan Syed Khurshid, Cambridge, MA (US);

Steven Alan Lubitz, Newton, MA (US);

Kenney Ng, Arlington, MA (US);

Assignees:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/00 (2023.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/00 (2013.01); G06N 20/00 (2019.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
Abstract

Obtain covariates and an outcome data for a population. Partition the population into a plurality of subgroups. Produce outcomes predictions by applying a machine learning model to the covariate data for the population. Establish performance measures based on the outcomes predictions. Compare the performance measures for at least one subgroup to the performance measures for at least one other subgroup. Identify an outlying subgroup for which the machine learning model produces performance measures that are different than the performance measures for one or more other subgroups. Optionally, retrain the machine learning model on additional covariate and outcomes data for the outlying subgroup.


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