
基本信息:
- 专利标题: Machine-Learning Driven Data Analysis and Reminders
- 申请号:US17472167 申请日:2021-09-10
- 公开(公告)号:US20220327585A1 公开(公告)日:2022-10-13
- 发明人: Akash Magoon , Aman Magoon , Edward David Rothschild , Motaz Abdullah Balghonaim , John Joseph Glorioso, JR. , Sina Chehrazi
- 申请人: Nayya Health, Inc.
- 申请人地址: US NY New York
- 专利权人: Nayya Health, Inc.
- 当前专利权人: Nayya Health, Inc.
- 当前专利权人地址: US NY New York
- 主分类号: G06Q30/02
- IPC分类号: G06Q30/02 ; G06Q40/08
摘要:
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.
公开/授权文献:
- US12056745B2 Machine-learning driven data analysis and reminders 公开/授权日:2024-08-06