Research On Mining Method Of The Function Of Miao Medicine Based On Big Data In Miao Medicine

The ethnic Miao have long lived in somewhere their natural conditions are adverse,the economy is backward and the transportation is inconvenient.Disease prevention and treatment mainly depended on the Miao medicine.In the long struggle with various diseases,the ethnic Miao accumulated experience on unique treatment of the disease in different degrees.Then it formed the Miao medicine theory.Miao medicine has been listed as the second batch of National Intangible Cultural Heritage list,which has played an important role in the prevention and treatment of all ethnic groups’ diseases in China,and has become the leading medicine among the six sorts of national medicines.At present,Miao medicine is one of the most popular national medicines in China,marking a bright prospect.However,the fact that there is no unified text in the Miao nationality blocks out the development of Miao medicine.The Miao medicine is inherited and spread through division,communication or songs.In the process of social development,the efficacy and prescription of Miao medicine had not been recorded and fully exchanged and shared.As a result,the lack of efficacy of Miao medicine and the standardization of Miao drugs are not guaranteed.Meanwhile the level of disease treatment technology is different,which makes some Miao medical misdiagnosis.These have impeded the development of Miao medicine industry.With the popularization of medical information technology,a large number of clinical records of Miao medicine treatment in the major hospitals have been accumulated,which helps to construct a big data in Miao medicine.The big data in Miao medicine is of great value.Through the data mining and analysis of the big data in Miao medicine,we can effectively solve the problem of lack of Miao medicine’s efficacy so as to achieve the purpose of standardization of the development of Miao medicine and the standardization of the application of Miao medicine.It also can promote the widespread use of Miao medicine and the development of Miao medicine industry.It provides ideas and paradigms in the exploration of use of big data to deal with issues related to Miao medicine in a big data way.In this paper,it focuses on the research of the method of Miao medicine’s efficacy.This research mainly includes the following contents:(1)The research studies on the relationship between symptoms and diseases.A method for mining the relationship between symptoms and diseases based on the data of Miao medical records is proposed.In this paper,the use of cloud computing platform stores medical records of Miao medicine,with which it explores the relationship between symptoms and diseases by distributed k nearest neighbor classification.Thus,it corrects the problems of disease diagnosis in medical record data and makes full preparations for digging the Miao medicine’s efficacy.(2)This paper studies the mining technology of Miao medicine on the basis of large data of Miao medicine,and puts forward the method of mining the Miao medicine based on Bayesian network.Firstly,according to the data of medical records,diseases and other related information,the experiment constructs the Bayesian network model and then uses distributed algorithm to learn the model parameters in the cloud,finally uses Bayesian network inference algorithm to compute efficacy of every seed drug,so as to provide a solution to the problem of lack of Miao medicine.The experimental results show that in order to dig out the efficacy of the Miao drugs,the method based on the relationship between symptoms and diseases and the method based on Bayesian network can be used.The results show that the efficacy of the 30 vaccines was up to 87%.Therefore,this method can be used to solve the problem of lack of Miao medicine’s efficacy.This research has certain application value in the development of Miao medicine standards and clinical treatment.