A Retrospective Study of Neural Network Model to Dynamically Quantificate the Severity in COVID-19 Disease

a Retrospective Study of Neural Network Model to Dynamically Quantificate the Severity in COVID-19 Disease

The research aim to collect large samples of COVID-19 disease patients with clinical symptoms, laboratory and imaging examination data. Screening the biological indicators which are related to the occurrence of severe diseases. Then, investigators using artificial intelligence (AI) technology deep learning method to find a prediction model that can dynamically quantify COVID-19 disease severity.

Inclusion Criteria:

• Patients of COVID-19 disease confirmed by virus nucleic acid RT-PCR and CT

Exclusion Criteria:

• unconfirmed suspected cases
• Patients during pregnancy and lactation
• incomplete clinical data
• inestigators considered patients ineligible for the trial