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:
Mar. 11, 2025

Filed:

Dec. 18, 2023
Applicant:

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

Inventors:

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

John E. Paton, Raleigh, NC (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G06N 20/00 (2019.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06N 20/00 (2019.01); G16H 50/30 (2018.01);
Abstract

A computer-implemented method includes receiving a group of sets. Each set has values for immutable attributes that match values for at least one mutable attribute in a prediction request. The method includes generating a deviation model based on the group of sets. The method includes generating multiple sets of likely mutable attribute values using the deviation model. The method includes automatically selecting a neural network based on at least one of the likely mutable attribute values. The neural network includes a set of layers. Each layer includes a set of nodes. A first layer receives inputs at the set of nodes of the input layer. A last layer outputs, from the neural network, outputs modified by a preceding layer. The method includes generating a likelihood corresponding to the at least one mutable attribute in the prediction request using the neural network.


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