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:
Apr. 21, 2026

Filed:

May. 23, 2022
Applicant:

Humana Inc., Louisville, KY (US);

Inventors:

Keegan Nesbitt, Louisville, KY (US);

David Christopher Mack, Louisville, KY (US);

Rajagopal Subramanian, Plano, TX (US);

Brent Sundheimer, Louisville, KY (US);

Xinyu Liu, Boston, MA (US);

Suresh Venkatesan, Plano, TX (US);

Suresh Siva, Boston, MA (US);

Assignee:

Humana Inc., Louisville, KY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 8/33 (2018.01); G06F 8/35 (2018.01); G06F 8/36 (2018.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 8/33 (2013.01); G06F 8/35 (2013.01); G06F 8/36 (2013.01); G06F 11/3428 (2013.01);
Abstract

A system enables agile model development to speed up innovation by data scientists. Model training and deployment are coordinated and standardized to reduce redundancy. Data is obtained for feature generation and reformatted and de-sensitized for storage. The features are stored in locations available to all models and training modules of a system so data does not need to be adjusted for new models. To generate a machine learning model, the system establishes a cohort for evaluation by the model. A model template and features for use by the model are identified. The selected template and features are used for experimentation and evaluation. Model training artifacts, such as model weights are subsequently recorded in a model store and the model scripts and settings can then be registered in a centralized database where it can be accessed for execution.


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