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:
Aug. 30, 2022

Filed:

Apr. 30, 2020
Applicants:

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

Massachusetts Institute of Technology, Cambridge, MA (US);

Inventors:

Uri Kartoun, Cambridge, MA (US);

Kristen Severson, Somerville, MA (US);

Kenney Ng, Arlington, MA (US);

Paul D. Myers, Bloomfield Hills, MI (US);

Wangzhi Dai, Cambridge, MA (US);

Collin M. Stultz, Newton, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/00 (2006.01); G06N 20/00 (2019.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/02 (2013.01);
Abstract

A computer system trains a predictive model. A plurality of subsets of features are selected from a dataset comprising a plurality of cases and controls and a plurality of features. Cases and controls are matched to select a plurality of case-control subsets for each subset of features, each case-control subset having similar values for the corresponding subset of features. For each case-control subset, a statistical significance of each feature of the plurality of features absent from the subset of features used to match the case-control subset is identified. A final subset of features is selected based on satisfying a statistical significance of each feature for the plurality of case-control subsets. A predictive model is trained using the final subset of features. Embodiments of the present invention further include a method and program product for training a predictive model in substantially the same manner described above.


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