Invention Grant
- Patent Title: Machine-learning driven data analysis and healthcare recommendations
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Application No.: US18151507Application Date: 2023-01-09
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Publication No.: US11948204B2Publication Date: 2024-04-02
- Inventor: Ishan Babbar , Satvik Gadamsetty , Bradley Verdino , David Feldman , Daniel Young , Mark Farnum , Akash Magoon , Aman Magoon
- Applicant: Nayya Health, Inc.
- Applicant Address: US NY New York
- Assignee: NAYYA HEALTH, INC.
- Current Assignee: NAYYA HEALTH, INC.
- Current Assignee Address: US NY New York
- Agency: NovoTechIP International PLLC
- Main IPC: G06Q40/08
- IPC: G06Q40/08 ; G06F16/2457 ; G16H10/60

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.
Public/Granted literature
- US20230274369A1 MACHINE-LEARNING DRIVEN DATA ANALYSIS AND HEALTHCARE RECOMMENDATIONS Public/Granted day:2023-08-31
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