Intelligent auxiliary diagnosis and treatment system

Abstract

The invention provides an intelligent auxiliary diagnosis and treatment system, which comprises: a receiving module used for receiving medical records; a classification module used for classifying the received medical records according to the disease types and storing the classified medical records into corresponding databases; a matching module used for matching the medical records with medical record templates in a medical record template library and obtaining the medical record templates with the matching degrees larger than a preset threshold value, wherein the medical record templates store the disease types and disease information corresponding to the disease types; and an auxiliary diagnosis module used for acquiring the matched disease types and the disease information corresponding to the disease type, giving corresponding historical diagnosis reference schemes by utilizing an artificial intelligence convolutional neural network learning method, and outputting the matched disease types and the disease information corresponding to the disease types for reference of doctors. According to the embodiment of the invention, the problem that the doctor level is insufficient in the current medical and health service is solved, the medical level of doctors can be improved, and the misdiagnosis rate of the doctors is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of medical information technology, in particular to an intelligent auxiliary diagnosis and treatment system and method. Background technique [0002] With the development of science and technology, especially the emergence of the Internet, artificial intelligence, and big data, the world and every aspect of society have been changed, profoundly affecting all areas of our lives. With the development of medical technology, there is a large amount of medical information, various types, and various information formats (text, numbers, images, audio and video). Doctors need to consult a large amount of information before they can give corresponding diagnosis and treatment plans. However, due to the huge amount of information, it is inevitable There will be omissions and an incomplete diagnosis and treatment plan will be given. Hospital medical quality management needs to be able to manage a wide variety of medica...

AI Technical Summary

Problems solved by technology

With the development of medical technology, there is a large amount of medical information, various types, and various information formats (text, numbers, images, audio and video). Doctors need to consult a large amount of information before they can give corresponding diagnosis and treatment plans. However, due to the huge amount of information, it is inevitable There will be omissions and an incomplete diagnosis and treatment plan will be given

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