Font Size: a A A

Research On Intelligent Diagnosis System Of Chinese Medicine Knowledge

Posted on:2021-01-01Degree:MasterType:Thesis
Country:ChinaCandidate:S B QinFull Text:PDF
GTID:2404330614455538Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Traditional Chinese medicine is the crystallization of thousands of years of experience of the working people of the Chinese nation in preventing and treating diseases.It is a life science with Chinese characteristics.How to make use of intelligent technology to give full play to the role of traditional Chinese medicine,so that traditional Chinese medicine can be better inherited,is the current problem must be solved.With the continuous development of information technology,intelligent assistance system is widely used in all walks of life.In the medical field,the researchers developed the intelligent medical auxiliary diagnosis system by imitating the process of doctors' diagnosis and combining artificial intelligence technology.On this basis,machine learning algorithm and deep learning technology were used to study the intelligent auxiliary diagnosis system.Based on the knowledge of traditional Chinese medicine from the doctor diagnosed during dialogue and diagnosis of patients with case records and classical Chinese medicine name related diseases and symptoms medical data extracted,and the related data pretreatment.Using bayesian classification algorithm and logistic regression machine learning,decision tree classification algorithm and Short-Long-Term Memory in the deep learning neural network model(Long-Short Memory,LSTM)in the data set on the test.Test results show that,in view of the small sample data,deep learning model does not give full play to the role,and logistic regression decision tree classification algorithm of machine learning effect was better.The disease information was classified accordingly,and the final diagnosis was obtained.Intelligent diagnosis system can not only assist doctors in diagnosis,improve diagnostic accuracy,reduce risks,reduce misdiagnosis rate,improve diagnosis and treatment level,shorten diagnosis cycle,further improve the overall medical level of the hospital,but also help the hospital reduce medical costs and reduce the economic burden of patients.By reducing doctors' heavy repetitive work,use more time to improve their professional knowledge and skills.Injecting fresh impetus into the development of traditional Chinese medicine was of great significance to the promotion of the social medical level in China.Figure 36;Table 3;Reference 45...
Keywords/Search Tags:knowledge of traditional Chinese medicine, intelligent diagnosis, machine learning, sorting algorithms
PDF Full Text Request
Related items