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

NCT04347369 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-02-23

No results posted yet for this study

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.

Conditions

  • COVID-19 Disease

Interventions

OTHER

other

clinical diagnosis

Sponsors & Collaborators

  • Xinqiao Hospital of Chongqing

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-17
Primary Completion
2020-08-30
Completion
2020-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04347369 on ClinicalTrials.gov