Research on Intelligent Traditional Chinese Medicine Prescription Model Based on Noisy-or Bayesian Network

Traditional Chinese Medicine (TCM) is the traditional medicine of China, which played an active role in the fight against the pneumonia caused by the novel coronavirus. How to make TCM benefit the general public, and to get the prescriptions of the prestigious Chinese physician without leaving home is a problem worth studying. This is of great significance for the inheritance of TCM. In this paper, an intelligent prescribing model is designed based on the nosiy-or Bayesian network. This model uses the correlation analysis method based on information entropy to obtain the network structure. The entire process greatly reduces the guidance of domain experts. The model uses the medical record data of a prestigious Chinese physician as training data, which can realize intelligent output Chinese medicine prescriptions with input symptom groups. The experimental results show a high accuracy of the model, and it can correctly simulate the diagnosis and treatment process of the prestigious Chinese physician.