Hi.q, Inc.

Ryan Hinchey

Munjal Shah

Shuo Jiao

Ardaman Singh

Cathy Ye Fan

A computing system can implement a health verification and prediction service by generating an interactive user interface through which users can provide responses to health assertions in one or more trivia sessions. Each of the health assertions can include a correlation value to actual health outcomes based on responses received from individuals a control group and the known health outcomes of those individuals. Based on the responses from the user, the computing system can generate a health profile for the user.

Remote health assertion verification and mortality prediction system

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 morbidity risk profile that is used to classify the user in an underwriting class.

Computing system implementing morbidity prediction using a correlative health assertion library

Remote health assertion verification and health prediction system

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.

Computing system implementing mortality prediction using a correlative health assertion library

Examples described herein include a computer system to obtain social network content from a user, and to analyze the social network content to determine one or more attributes. The computer system predicts a lifestyle category of the user based at least in part on the determined one or more attributes.

System and method for using social network content to determine a lifestyle category of users

A computer system automates the determination of a health profile of a user based on a knowledge of the user regarding health related questions and social network content from an account of the user.

Automated determination of user health profile

A computer system prompts a user to answer a series of questions from a collection of questions. From the user's answers, the computer system predicts a mortality outcome based on the value of a predetermined mortality parameter for one or more of the questions in the series.

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Mountain View, CA, United States of America

Ryan Hinchey