Design And Implementation Of Syndromes And Main Symptoms Diagnosis System Based On Treatise On Fevers

With the development of domestic information technology,more and more traditional industries have begun to incorporate computer technology and artificial intelligence into it.However,most traditional Chinese medicine(TCM)practitioners still rely on their own experience when making diagnosis,which has always been a challenge for young Chinese medicine practitioners.In order to improve the accuracy of inexperienced doctors in finding patient symptoms and main symptoms,and to provide ideas for experienced doctors,this article uses relevant artificial intelligence and machine learning algorithms to study cases in Treatise on Exogenous Febrile Disease of TCM clinical works,and combines TCM with "Differential diagnosis use different treatment" Method,designed and implemented a syndrome diagnosis system based on Treatise on Exogenous Febrile Disease.Entering the patient’s main complaint and symptoms in this system,the most likely multiple syndromes and their corresponding symptoms can be obtained.Doctors can use them as dialectical reminders,and they can also ask patients whether they have related symptoms based on them.After selecting one or more syndromes,the system will give the prediction results of the patient’s syndromes and symptoms for the doctor’s reference.The main work completed in this article is as follows:1.At present,electronic manuscripts of traditional Chinese medicine are more common,but there are still few data archived according to different categories.In response to this problem,this paper trained a data labeling model to automatically label typhoid fever papers,and obtain data of categories such as syndromes,symptoms,syndromes,and pathogenesis.2.Use the data of TCM case of typhoid fever to train a high accuracy diagnostic model.3.Design and implement the interactive interface,and embed the diagnostic model in the system to complete the construction of the syndrome main system.After functional test and integration test,each module in the system completed in this paper has reached the expected requirements.It also has better performance in performance and can be used in clinical practice.