to Predict an Unfavorable Evolution of Covid-19 at the Hospital Admission of Patients Clinical Trial
Official title:
Bayesian Network to Predict Transfer in Intensive Care Units or Death in Newly Covid-19 Hospitalized Patient
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
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