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:
Oct. 15, 2024

Filed:

Jul. 20, 2023
Applicant:

Cigna Intellectual Property, Inc., Wilmington, DE (US);

Inventors:

Armand E. Prieditis, McKinleyville, CA (US);

John E. Paton, Auckland, NZ;

Assignee:

Cigna Intellectual Property, Inc., Wilmington, DE (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01W 1/10 (2006.01); G06F 7/24 (2006.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G06F 17/18 (2013.01); G01W 1/10 (2013.01); G06F 7/24 (2013.01); G06F 17/16 (2013.01); G16H 50/30 (2018.01);
Abstract

A method includes, in response to receiving a forecasting request from a user device via a web portal, determining a measure of uncertainty associated with an input vector specified by the forecasting request. The measure of uncertainty includes a compact representation of uncertainty associated with future time intervals specified by the forecasting request. The method includes obtaining a set of historical data from a time-series data store. The method includes generating a forecast model using the set of historical data, the input vector, and the measure of uncertainty to predict outcomes incrementally for the future time intervals. The method includes determining a predicted outcome using the forecast model at an end of the future time intervals. The method includes, in response to the predicted outcome exceeding a threshold, generating a graphical user interface. The graphical user interface illustrates the mean vector and a magnitude of the predicted uncertainty measure.


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