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. 10, 2023

Filed:

Oct. 25, 2021
Applicant:

Included Health, Inc., San Francisco, CA (US);

Inventors:

Eric Carlson, Boulder, CO (US);

Ramakrishna Soma, Fremont, CA (US);

Molong Li, San Francisco, CA (US);

Jacob David Rifkin, San Francisco, CA (US);

Zachary Taylor, Moraga, CA (US);

Peyton Rose, San Francisco, CA (US);

Assignee:

Included Health, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/70 (2018.01); G16H 20/00 (2018.01); G16H 10/60 (2018.01); G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 18/2113 (2023.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); G06F 18/214 (2023.01); G06F 18/2113 (2023.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 20/00 (2018.01);
Abstract

Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.


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