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:
Jan. 17, 2023

Filed:

Apr. 30, 2020
Applicant:

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

Inventors:

Corey D. McMillan, Salisbury, NC (US);

William Alexander Wood, Fort Mill, SC (US);

Austin Schick, Cary, NC (US);

Donald Landrum, Gainesville, GA (US);

Columbus Dong, Manteo, NC (US);

Rachel Szabo, Pittsburgh, PA (US);

William Drayton Taylor, Boston, MA (US);

Austin T. Gansz, Schwenksville, PA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G16H 50/20 (2018.01); G06F 16/242 (2019.01); G06N 20/00 (2019.01); G06F 40/289 (2020.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 16/244 (2019.01); G06F 40/289 (2020.01); G06N 20/00 (2019.01);
Abstract

Techniques for integrative machine learning using sentiment-based predictive inferences and symptom-based predictive are discussed herein. In one example, a method includes determining, based on one or more health monitoring logs, a first distribution of symptomatic prediction labels over a first period of time associated with the one or more health monitoring logs; processing the one or more health monitoring logs and using a sentiment detection machine learning model to determine a second distribution of extracted sentiment scores over the first period of time; generating, based on the first distribution and the second distribution, an aggregate distribution of inferred health-related predictions over the first period of time; and causing display of an aggregate distribution user interface that is configured to display the aggregate distribution.


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