SYSTEM FOR PREDICTTING A DIRECTION OF PROSTATE CANCER RISK BASED ON COREECTABLE FACTORS

摘要

An embodiment of the present invention is a recording means for recording user's race, age, genetic information and family history information, body measurement information, lifestyle information, etc., body measurement information including users' body mass index, waist circumference, etc., coffee of users , Calcium, lycopene and fish intake, smoking habits, drinking habits, lifestyle information including physical activity, and user's family history information as teacher data, input as body information, lifestyle information, and change of input information Model generation means for generating a judgment model using machine learning to output the output according to the degree of change in the user's prostate cancer risk, and register the race, age, genetic information and family history information, body measurement information, and lifestyle information of the first user. Outputs the degree of change in prostate cancer risk estimated from the body measurement information and lifestyle information input to the registration means by using the registration means to perform and a determination model that predicts the degree of change in the prostate risk generated by the model generation means. Disclosed is a system for predicting a degree of change in the risk of prostate cancer having an output means for performing the prostate cancer.