Abstract

Based on the impact of Chernobyl nuclear accident and the situation of transmissible viral pneumonia in eastern Europe, the research team proposed an algorithm model for nuclear radiation data collection and disease occurrence prediction with artificial neural network as the core, and proposed a computer model for drug trade in traditional Chinese medicine against transmissible viral pneumonia, which solved the problem of virus monitoring and nuclear radiation detection. Through the construction of network supply chain, An international rescue network model was proposed for nuclear radiation and transmissible viral pneumonia, which solved the problem of shortage of doctors in the Republic of Belarus and realized medical mutual assistance between China and Belarus. The research team trained a neural network using the recovered questionnaire. This neural network has the ability to predict the willingness of people in a certain region to buy anti-tumor drugs. We take this algorithm as part of supply chain optimization.The research team discussed the above model and reported it based on the experimental results.

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