Machine-learning driven data analysis based on demographics, risk, and need

US11720973B2 · kind B2 · utility

Assignee

• Nayya Health, Inc. · US

Inventors

• Sina Chehrazi · New York, US
• Josh Allen Brown · San Diego, US
• Lisa Renee Carpenter · Jackson, US
• Akash Magoon · New York, US
• Aman Magoon · Fallston, US

Key dates

• Filing date: Aug 13, 2021
• Grant date: Aug 8, 2023
• Expiry date: Jan 18, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H10/60
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance recommendation report.