METHOD FOR PREDICTING LIVER DISEASE OF ORDINARY PERSEON USING ECG ANALYSIS DATA BASED ON DEEP RUNNING

摘要

A method for predicting the possibility of having liver disease in the general public using deep learning-based electrocardiogram analysis data is provided. According to an aspect of the present invention, there is provided a method for predicting the possibility of having liver disease in the general public using the deep learning-based electrocardiogram analysis data, comprising: acquiring the general public's electrocardiogram data, clinical data, demographic data and other data; inputting the electrocardiogram data into a first deep neural network, and calculating electrocardiographic analysis data through the first deep neural network; and inputting the electrocardiogram analysis data, the clinical data, the demographic data, and the other data into a second deep neural network, and calculating a prediction value of liver disease in the general public through the second deep neural network; include