PAIN DETERMINATION USING TREND ANALYSIS, MEDICAL DEVICE INCORPORATING MACHINE LEARNING, ECONOMIC DISCRIMINANT MODEL, AND IOT, TAILORMADE MACHINE LEARNING, AND NOVEL BRAINWAVE FEATURE QUANTITY FOR PAIN DETERMINATION

摘要

The present invention provides a pain estimation method and device that make it possible to accurately and objectively make determinations on the pain of an estimation subject. More specifically, the present invention provides: a pain monitoring method for monitoring the pain of an estimation subject on the basis of the brainwaves of the estimation subject and a device and a system that execute said method; and a method for generating a model for making determinations on the pain of a subject and a device and a system that execute said method. The present invention also provides a method for improving machine learning and a device and a system that execute said method. To address the problem of efficiently making accurate pain determinations, the present invention also provides: a method for making determinations on pain using brainwave feature quantities that include at least one brainwave feature quantity such as a brainwave feature quantity interrelationship or a complexity index; and a device and a system for executing said method.