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

COVID-19 Disease Clinical Trial

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

Clinical Trial Summary

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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04347369
Study type Observational
Source Xinqiao Hospital of Chongqing
Contact
Status Completed
Phase
Start date January 17, 2020
Completion date December 31, 2020
View Details
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