Author: Hong, Yukai
Title: Research on the Machine Learning Algorithms in the Prevention Model of New Coronary Pneumonia Epidemic Prevention and Control Cord-id: ts60wxjn Document date: 2021_1_1
ID: ts60wxjn
Snippet: In response to the practical application of new COVID-19 transmission dynamics models such as new coronary pneumonia, the number of contacts associated with real-time data of confirmed cases is proposed, and the new COVID-19 transmission dynamics model based on machine learning algorithms is optimized. Enhance the practical value of the model. This type of exposure can be extended to other new cases of COVID-19, revealing the risk of transmission at different times during the outbreak.
Document: In response to the practical application of new COVID-19 transmission dynamics models such as new coronary pneumonia, the number of contacts associated with real-time data of confirmed cases is proposed, and the new COVID-19 transmission dynamics model based on machine learning algorithms is optimized. Enhance the practical value of the model. This type of exposure can be extended to other new cases of COVID-19, revealing the risk of transmission at different times during the outbreak.
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