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:
Jan. 10, 2023

Filed:

Feb. 25, 2022
Applicant:

Nayya Health, Inc., New York, NY (US);

Inventors:

Akash Magoon, New York, NY (US);

Aman Magoon, Fallston, MD (US);

Mark Farnum, New York, NY (US);

Daniel Young, New York, NY (US);

Ishan Babbar, New York, NY (US);

Satvik Gadamsetty, North Brunswick, NJ (US);

Bradley Verdino, Long Island City, NY (US);

David Feldman, New York, UA;

Assignee:

Nayya Health, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 40/08 (2012.01); G06F 16/2457 (2019.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
G06Q 40/08 (2013.01); G06F 16/2457 (2019.01); G16H 10/60 (2018.01);
Abstract

A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.


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