Adopt multi-level evidence base architecture, build multi-source data analysis, feature extraction, multi-level evidence extraction, active The integrated Chinese and Western medicine big data platform integrates the original evidence processing into a multi-level evidence base, comprehensive analysis of The platform will generate a multi-level evidence base by processing the original evidence, analyze the evaluation indexes of New Coronary Pneumonia, select the features, build a deep neural network model, train and validate the model, and establish a high The model is trained and validated, and a three-level early warning model is established for people at high risk of new coronary pneumonia, those who turn serious, and those with sequelae.
Based on the characteristics of symptoms, differences in physical and chemical examinations and tests, and characteristics of traditional Chinese medicine (TCM) disease differentiation and syndrome differentiation, the evaluation indicators for the clinical early warning model were screened, and the three-level early warning mechanism for COVID-19 patients at high risks, with progression to severe cases and sequelae was constructed.