US 12,073,472 B2
Machine-learning driven data analysis based on demographics, risk, and need
Sina Chehrazi, New York, NY (US); Josh Allen Brown, San Diego, CA (US); Lisa Renee Carpenter, Jackson, WY (US); Akash Magoon, New York, NY (US); and Aman Magoon, Fallston, MD (US)
Assigned to Nayya Health, Inc., New York, NY (US)
Filed by Nayya Health, Inc., New York, NY (US)
Filed on Jun. 20, 2023, as Appl. No. 18/337,628.
Application 18/337,628 is a continuation of application No. 17/401,596, filed on Aug. 13, 2021, granted, now 11,720,973.
Application 17/401,596 is a continuation of application No. 17/229,020, filed on Apr. 13, 2021, granted, now 11,113,770, issued on Sep. 7, 2021.
Prior Publication US 2023/0334590 A1, Oct. 19, 2023
Int. Cl. G06Q 40/08 (2012.01); G06N 20/00 (2019.01); G06Q 30/0203 (2023.01); G16H 10/60 (2018.01)
CPC G06Q 40/08 (2013.01) [G06N 20/00 (2019.01); G06Q 30/0203 (2013.01); G16H 10/60 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A data processing system comprising:
a processor; and
a machine-readable medium storing executable instructions that, when executed, cause the processor to perform operations comprising:
obtaining an electronic copy of first demographic information associated with a user;
providing the first demographic information as an input to a first machine learning model;
analyzing the first demographic information with the first machine learning model, the first machine learning model being trained using demographic information and claims information to cluster people into clusters having similar demographics and having similar medical spending, the first machine model outputting a predicted cluster and predicted medical spending information for the user;
providing the predicted medical spending information to a recommendation engine to generate a customized comprehensive insurance plan for the user comprising a plurality of insurance policies based on the predicted medical spending information;
generating an insurance recommendation report that presents the customized comprehensive insurance plan 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.