SMART AUXILIARY DIAGNOSIS AND TREATMENT SYSTEM AND METHOD

摘要

The present invention provides a smart auxiliary diagnosis and treatment system, comprising: a receiving module, configured to receive medical records; a classifying module, configured to classify the received medical records according to the types of disease, and store the classified medical records in a corresponding database; a matching module, configured to match medical records with medical record templates in a medical record template library, so as to acquire a medical record template having a matching degree greater than a preset threshold, the medical record templates storing the types of disease and symptoms information corresponding to the types of disease; an auxiliary diagnosis module, configured to acquire a matched type of disease and symptoms information corresponding to the type of disease, use an artificial intelligence convolutional neural network learning method to provide a corresponding historical diagnostic scheme for reference, and output the matched type of disease and the symptoms information corresponding to the type of disease for reference of a doctor. The present invention solves the problem, in current medical and health services, of inadequate capability of doctors, improving the medical level of doctors, and effectively reducing the misdiagnosis rate of doctors.