Invention Grant
- Patent Title: Machine-learning driven data analysis and reminders
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Application No.: US17472167Application Date: 2021-09-10
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Publication No.: US12056745B2Publication Date: 2024-08-06
- Inventor: Sina Chehrazi , John Joseph Glorioso, Jr. , Motaz Abdullah Balghonaim , Edward David Rothschild , 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: G06Q30/0282
- IPC: G06Q30/0282 ; G06Q30/0204 ; G06Q40/08

Abstract:
A data processing system for machine-learning driven data analysis and reminders implements obtaining an electronic copy of demographic information and an electronic copy of insurance and benefits information associated with a user; providing the demographic information and the insurance and benefits information to a first machine learning model; analyzing the demographic information and the insurance and benefits information with the first machine learning model to output a first benefits utilization prediction that the one or more benefits are available to the user; providing the first benefits utilization prediction as an input to a recommendation engine; generating, using the recommendation engine, a benefits usage summary recommendation report that presents the information regarding the one or more benefits available to the user based on the first benefits utilization prediction; and causing a user interface of a display of a computing device to present the benefits usage summary recommendation report.
Public/Granted literature
- US20220327585A1 Machine-Learning Driven Data Analysis and Reminders Public/Granted day:2022-10-13
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