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Clinical and Radiomic Model of COVID-19

NCT04337502 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2020-04-07

No results posted yet for this study

Summary

To develop and validate a machine-learning model based on clinical, laboratory, and radiological characteristics alone or combination of COVID-19 patients to facilitate risk Assessment before and after symptoms and triage (home, hospitalization inward or ICU).

Conditions

  • Coronavirus
  • Machine Learning

Interventions

DIAGNOSTIC_TEST

Machine learning model

Machine learning, such as logistic regression, random forest, and deep learning

Sponsors & Collaborators

  • Wuhan Central Hospital

    collaborator OTHER

  • Maastricht University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-12-23
Primary Completion
2020-01-20
Completion
2020-03-03

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 NCT04337502 on ClinicalTrials.gov