EXPLAINABLE ARTIFICIAL INTELLIGENCE SYSTEM FOR DIAGNOSIS OF MENTAL DISEASES AND METHOD FOR DIAGNOSING OF MENTAL DISEASES

摘要

The present invention is an artificial intelligence system that can be explained, the communication unit for receiving the patient's brain waves; and pre-processing the measured EEG through noise removal and epoching processing, extracting at least one first EEG characteristic from the pre-processed EEG, and using a machine learning model learned for diagnosing mental disorders, the At least one second EEG characteristic necessary for diagnosing the patient's mental illness among at least one first EEG characteristic and the importance of each of the at least one second EEG characteristic are determined, and decision making for diagnosing the patient's mental illness Generating a structure, substituting the at least one second EEG characteristic and the importance to the decision-making structure to diagnose the patient's mental illness, and to explain the diagnosis result and the basis for the diagnosis. and a processor that visualizes and provides a decision-making structure. "This patent is the result of receiving support from the Gyeonggi Provincial Economic Science Promotion Agency with the financial resources of the 2020 Gyeonggi-do Global Startup Enterprise Support Project"