Based on the characteristics of symptoms, differences in physical and chemicalexaminations and tests, and characteristics of traditional Chinese medicine (TCM) diseasedifferentiation and syndrome differentiation, the evaluation indicators for the clinicalearly warning model were screened, and the "three-level early warning mechanism forCOVID-19 patients at high risks, with progression to severe cases and sequelae wasconstructed.
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.
Other: Observe and record
The general information, environmental indicators, and auxiliary examination indicators
of the subjects were observed and recorded, as well as the TCM physical assessment was
performed.
Inclusion Criteria:
1. Meeting the diagnostic criteria of mild and moderate types of COVID-19 disease
described in the "Diagnostic and Treatment Protocol for Novel Coronavirus Pneumonia
(Trial version 9)" [9];
2. Age ≥18 years old and ≤90years old;
3. Not more than 5 days after the occurrence of the first symptom (or confirmed onset);
4. The subject agrees to participate the study and have signed the informed consent
form by paper signature, electronic signature of mobile software or voice
authorization.
Exclusion Criteria:
1. Pregnant or lactating women;
2. Patients complicated with severe heart, liver, kidney, blood system and other
primary diseases and mental disorders.
3. Patients with disturbance of consciousness, aphasia, dementia and other conditions
that prevent them from cooperating with the clinical investigators
4. Patients with incomplete study data.
Xiyuan Hospital of China Academy of Chinese Medical Sciences
Beijin, China
Investigator: Zhang, Yanhong
Yanhong Zhang, doctor
010-62835861
zhangyanhong818@163.com
Maorong Fan, doctor
010-62835377
fanmr1974@qq.com
Not Provided