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Prediction of Unfavourable Outcome in Newly Covid-19 Hospitalized Patient

NCT04412031 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 802

Last updated 2020-06-02

No results posted yet for this study

Summary

The project is a part of the "Protocol for a multicentre study of nosocomial SARS-CoV2 transmission: The NOSO-COR Project" registered in ClinicalTrials (NCT04290780).

In the current pandemic context, medical resources have often been exceeded. Developing, using artificial intelligence techniques, an algorithm capable of detecting patients at risk of acute respiratory distress following Sars-Cov2 infection could help physicians to optimize the treatment of patients and health decision-makers to optimize resources. Thus, the goal of this project is to create a prediction model using artificial intelligence to predict an unfavorable evolution of Covid-19 at the hospital admission of patients

Conditions

  • to Predict an Unfavorable Evolution of Covid-19 at the Hospital Admission of Patients

Interventions

OTHER

non applicable

non applicable

Sponsors & Collaborators

  • Hospices Civils de Lyon

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-11-11
Primary Completion
2020-05-14
Completion
2020-05-15

Countries

  • France

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 NCT04412031 on ClinicalTrials.gov