Invention Grant
- Patent Title: Computing system implementing mortality prediction using a correlative health assertion library
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Application No.: US16784641Application Date: 2020-02-07
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Publication No.: US10910109B2Publication Date: 2021-02-02
- Inventor: Shuo Jiao , Munjal Shah , Ryan Hinchey , Cathy Ye Fan , Ardaman Singh
- Applicant: Hi.Q, Inc.
- Applicant Address: US CA Mountain View
- Assignee: Hi.Q, Inc.
- Current Assignee: Hi.Q, Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Mahamedi IP Law LLP
- Main IPC: G16H50/30
- IPC: G16H50/30 ; G06Q50/00 ; G06Q40/08 ; G16H10/20 ; G16H20/10 ; G16H40/20 ; G06F19/00

Abstract:
A computing system can execute a correlation model for a library of health assertions to configure a correlation value for each health assertion. The correlation value comprises a correlation between knowledge associated with the health assertion and known health outcomes of individuals in a control group who have also provided responses to the health assertions. The computing system provides a health trivia session for users and based at least in part on the performance of the user, generates a mortality outcome profile that is used to classify the user in an underwriting class.
Public/Granted literature
- US20200251222A1 COMPUTING SYSTEM IMPLEMENTING MORTALITY PREDICTION USING A CORRELATIVE HEALTH ASSERTION LIBRARY Public/Granted day:2020-08-06
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