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. 13, 2024

Filed:

Nov. 30, 2021
Applicant:

Unitedhealth Group Incorporated, Minnetonka, MN (US);

Inventors:

Reem A. Hussain, Silver Spring, MD (US);

Vijay S. Nori, Roswell, GA (US);

Daniel J. Mulcahy, Evanston, IL (US);

Jason E. Weinberg, Galesburg, IL (US);

Assignee:

UnitedHealth Group Incorporated, Minnetonka, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/082 (2023.01); G16H 10/60 (2018.01); G16H 20/00 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/082 (2013.01); G16H 10/60 (2018.01); G16H 20/00 (2018.01);
Abstract

Various embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by using an agent machine learning model to determine an optimal clinical intervention based at least in part on the current clinical state and an inferred reinforcement learning policy that is determined based at least in part on a familiarity-adjusted reward function, where the familiarity-adjusted reward function is generated by an environment machine learning framework based at least in part on one or more next state predictions for one or more pruned action-state combinations based at least in part on a historical clinical outcome database, and the one or more pruned action-state combinations are determined based at least in part on one or more pruned clinical actions that are selected from a plurality of candidate clinical actions based at least in part on one or more action pruning criteria.


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