A METHOD FOR LEARNING A MODEL THAT DETECTS INFECTIOUS DISEASES EARLY IN REAL TIME BY RECOGNIZING THE SPREAD PATTERN OF INFECTIOUS DISEASES

摘要

The present invention performs clustering of infectious diseases through analysis of the spread pattern of infectious diseases based on the construction of a database server for predicting infectious diseases, and also generates, learns, and utilizes predictive models for each clustered infectious disease to detect dangerous signs and quickly prevent the occurrence of infectious diseases. It relates to a method for learning a real-time early detection model of an infectious disease based on the recognition of an infectious disease spread pattern that can recognize and derive areas with a high risk of infection.