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:
Jul. 16, 2024

Filed:

Mar. 30, 2023
Applicant:

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

Inventors:

Christopher R. Markson, Hawthorne, NJ (US);

Pritesh J. Shah, Paramus, NJ (US);

Christopher G. Lehmuth, St. Louis, MO (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/451 (2018.01); G06F 17/11 (2006.01); G06Q 10/0834 (2023.01); G16H 40/67 (2018.01); G16H 70/40 (2018.01); G06F 16/2457 (2019.01); G06F 16/25 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 9/451 (2018.02); G06F 17/11 (2013.01); G06Q 10/0834 (2013.01); G16H 40/67 (2018.01); G16H 70/40 (2018.01); G06F 16/24575 (2019.01); G06F 16/252 (2019.01); G06N 20/00 (2019.01);
Abstract

A method includes storing a parameter related to a user, storing descriptive data for multiple identifiers, and indexing multiple events. Each event corresponds to a physical object supplied to a user on behalf of an entity. The method includes identifying a first set of identifiers based on commonality among the descriptive data. The method includes training a machine learning model for the first set of identifiers based on event data from within a predetermined epoch. The method includes receiving an indication of a selected identifier and determining a first intake metric of the selected identifiers using the machine learning model. The method includes determining a second intake metric of the selected identifier and the parameter and transforming the user interface according to the first and second intake metrics. The first intake metric represents an amount of resources expected to be received during a second epoch subsequent to the predetermined epoch.


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