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. 25, 2025

Filed:

Jul. 08, 2020
Applicant:

Express Scripts Strategic Development, Inc., St. Louis, MO (US);

Inventors:

Morgan J. Finley, St. Louis Park, MN (US);

Garret L. Anderson, Arden Hills, MN (US);

Nihitha Davis, Bengaluru, IN;

Heather Durosko, New Castle, PA (US);

Camille Patel, New York, NY (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 40/205 (2020.01); G06N 3/042 (2023.01); G06N 3/044 (2023.01); G06N 3/048 (2023.01); G06Q 10/10 (2023.01); G06Q 40/08 (2012.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 40/205 (2020.01); G06N 3/042 (2023.01); G06N 3/044 (2023.01); G06N 3/048 (2023.01); G06Q 10/10 (2013.01); G06Q 40/08 (2013.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01);
Abstract

A machine learning server for trained prediction of unenrollment in claim processing systems is provided. The machine learning server includes a processor configured to construct a layered neural network configured to be trained by claim features. The processor is also configured to receive historic claims. The processor is also configured to extract a set of historic claim features from the historic claim data of the historic claims. The processor is further configured to obtain the claim enrollment status associated with the sets of historic claim features. The processor is also configured to train the layered neural network with the set of historic claim features and the claim enrollment status to predict the claim enrollment status of a pending claim. The processor is further configured to receive a pending claim and to apply the pending claim features to the trained layered neural network to obtain a predicted claim enrollment status.


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