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:
Sep. 01, 2026

Filed:

Sep. 08, 2021
Applicant:

Humana Inc., Louisville, KY (US);

Inventors:

Sayantan Mitra, Louisville, KY (US);

Nibhrat Lohia, Louisville, KY (US);

Peyman Yousefian, Frederick, MD (US);

Harpreet Singh, Louisville, KY (US);

Rajiv Kumar Gumpina, Louisville, KY (US);

Assignee:

Humana Inc., Louisville, KY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06F 16/28 (2019.01); G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/285 (2019.01); G06N 5/022 (2013.01);
Abstract

A system according determines a machine learning based model for forecasting time series data for a given use case. The system determines a model metric for a specific use case of time series data. The system accesses a pool of machine learning based models including a plurality of machine learning based models machine learning based models based on different machine learning techniques. For each of the plurality of machine learning based models the system performs forecasting using the machine learning based model and determines the value of the model metric for the machine learning based model. The system selects a machine learning based model based on comparison of values of the model metric for machine learning based models. The system uses the selected machine learning based model for forecasting values for the time series data for the application.


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