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

Army Medical University of People's Liberation Army

Status: Completed

Conditions: COVID-19 Disease

Treatments: Other: other

Study type: Observational

Funder types: Other

Identifiers

NCT04347369

XQonc-015

Details and patient eligibility

About

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.

Enrollment: 1,000 patients

Sex: All

Ages: 18 to 80 years old

Volunteers: No Healthy Volunteers

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

Trial design

1,000 participants in 1 patient group

Observed group

Description:

The patients who were detected COVID-19 disease by RT-PCR and CT imaging.

Treatment:

Other: other