Disease onset risk prediction device, method, and non-fugitive recording medium for storing program

Abstract

Prediction of a disease onset risk is enabled by focusing on characteristic change in biological information depending on a time period. A prediction device SV acquires blood pressure data and determination data on irregular pulse waves and acquires input data indicating a sleep time period or information indicating a determination result of a sleep condition. Further, based on the input data indicating the sleep time period or the information indicating the determination result of the sleep condition, the sleep time period is set as a prediction target period and is divided into a first half and a second half. A degree of change in the blood pressure data and a degree of change in frequency of occurrence of irregular pulse waves in each of the first half time period and the second half time period are calculated and multiplied. With this, a total risk in the sleep time period is calculated. Further, by comparing the total risk with a determination threshold, whether an onset risk for cardiovascular and cerebrovascular diseases is high or low is determined.