TCM disease diagnosis based on convolutional cyclic neural network algorithm


  • Fanpeng Kong
  • Mingchuan Zhang



TCM diagnosis of diseases, Recurrent Neural Network, Convolutional Neural Network


The unique diagnosis and treatment mode of traditional Chinese medicine provides a lot of diagnostic basis with reference value for modern medicine, which is welcomed by people all over the world and has attracted extensive attention of medical researchers. However, the unique diagnosis and treatment method of traditional Chinese medicine also brings difficulties to the dissemination of traditional Chinese medicine. The diagnosis method of traditional Chinese medicine is difficult to objectively and quantitatively express, and the diagnosis process is also closely related to the subjective experience of traditional Chinese medicine doctors. , lacking established standards. In view of the above-mentioned difficulties in the modernization of traditional Chinese medicine, the development of modern information science and technology has brought a turning point to the intelligentization of disease differentiation in traditional Chinese medicine. The core of traditional Chinese medicine diagnosis and treatment is diagnosis and classification. How to convert the difficult to describe disease diagnosis and treatment process of traditional Chinese medicine into language that can be distinguished and understood by ordinary doctors, and build an auxiliary diagnosis and treatment model to provide reference for Chinese doctors to see a doctor is the main problem to be solved in this paper.


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How to Cite

Kong, F., & Zhang, M. (2023). TCM disease diagnosis based on convolutional cyclic neural network algorithm. Journal of Computing and Electronic Information Management, 10(3), 80-85.

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