Design of TCM detection information platform based on Artificial Intelligence

Abstract

Abstract Traditional Chinese medicine has a long history and plays an important role in China's social development. With the continuous improvement of living standards and the development of medical technology, people put forward higher and higher requirements for medical level. This paper uses artificial intelligence technology to design an intelligent platform for traditional Chinese medicine detection information. The design goal is to solve the problems of uneven distribution of medical resources, residents' difficulties in seeking medical treatment, and limited medical resources in China. The system adopts BP network algorithm. Through simulation experiments, it can be seen that the BP neural network structure and relevant parameters adopted by the system for TCM diagnosis and treatment are reasonable and can meet the requirements of target accuracy. The design of this system is divided into three subsystems according to functions, namely, the Chinese medicine management subsystem, the patient information management subsystem, and the user information management subsystem. By using artificial intelligence technology, the system helps doctors identify and diagnose disease information, complete information detection, and record and manage relevant information of patients. By saving and accumulating diagnosis and treatment knowledge, the system can deal with different conditions, effectively reduce consultation time and improve doctors' work efficiency. The design of this platform has been tested and evaluated repeatedly, and the test process has been recorded and iterated, so as to ensure the stable and trouble free operation of the system. This paper designs an effective TCM detection information platform by using artificial intelligence technology.