The Construction And Design Of Patient’s Portrait In The Auxiliary Diagnosis And Treatment System Of TCM

The advancement of modern science and technology has also promoted the process of digitizing medical information,which has led to the rapid development of the way of Internet consultation.Different from traditional hand-written records of medical conditions,due to the gradual completion of intelligent medical facilities,the hospital will generate a large number of complex medical data every day.If doctors can efficiently use these data to mine valuable information,this will greatly improve Physician’s diagnosis accuracy and efficiency,and traditional Chinese medicine as empirical medicine,it is difficult to form specific diagnostic standards,and its diagnosis and treatment data is more complicated than Western medicine,so the introduction of the concept of user portraits can alleviate the above problems.Constructing a user portrait of a patient can enable doctors to quickly grasp the patient’s physical condition,thereby assisting doctors to provide patients with appropriate treatment plans efficiently and accurately.Therefore,this paper proposes the idea of constructing a multi-dimensional patient portrait based on the clinical data of TCM and using data mining technology to process massive amounts of TCM diagnosis and treatment data information.In this paper,through the research summary of user portrait and the analysis of related technologies,we can build multi-dimensional patient portrait for patients with internet consultation information.First of all,the method of constructing user profile in literature is studied,then the theory and application of data mining algorithm are analyzed,and the application of machine learning in medical field is mainly studied.The basic theory and algorithm based on neural network are selected for information mining,and the prediction and simulation experiments of two different neural networks are compared,their advantages and disadvantages are analyzed,and their advantages and disadvantages are selected At the same time,the algorithm with high accuracy is used to a5nalyze the association between constitution and drugs in the case.By comparing the association results and running speed of the classic FP growth algorithm and the improved FP growth algorithm,the algorithm with better experimental effect and better performance is selected and applied in the system.Finally,the valuable dominant information of the patient is extracted based on the case data,and the patient’s gender,age,blood pressure,body weight are given Temperature,heart rate,constitution and recommended medication are seven dimensions of visual display of the portrait.