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:
Nov. 29, 2022

Filed:

Nov. 01, 2019
Applicant:

Optum, Inc., Minnetonka, MN (US);

Inventors:

Christina Winans Burke, Arlington, VA (US);

Daniel Mulcahy, Cambridge, MA (US);

Mary Duncan, Washington, DC (US);

Zhongjian Liu, Austin, TX (US);

Assignee:

Optum, Inc., Minnetonka, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/70 (2018.01); G06N 5/04 (2006.01); G16H 10/60 (2018.01); G06Q 40/08 (2012.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G16H 20/00 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 40/08 (2013.01); G16H 10/60 (2018.01); G16H 20/00 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
Abstract

Machine-learning based recommendation engines are configured to execute machine-learning models to generate recommendations as output for a user based at least in part on functional data received at the recommendation engine. The recommendation engine is further configured to automatically determine the relative importance of one or more functional data entries in generating the recommendation. Moreover, the recommendation engine executes additional machine-learning models, including a machine-learning model trained to avoid negative outcomes, and an opportunity-based machine-learning model to identify alternative recommendation options based on alternative training logic.


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