Clinical Trials Directory

Trials / Unknown

UnknownNCT04825301

Application of Machine Learning Based Approaches in Emergency Department to Support Clinical Decision Managing SARS-CoV-2 Infected Patients

Status
Unknown
Phase
Study type
Observational
Enrollment
779 (estimated)
Sponsor
University of L'Aquila · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

Summary

The aim of the study is to develop a prognostic prediction model based on machine learning algorithms in patients affected by coronavirus disease 2019 (COVID-19), the prediction model will be capable to recognize patient with favorable prognosis or patient with poor prognosis by intelligent systems data analysis.

Conditions

Timeline

Start date
2020-02-27
Primary completion
2022-03-30
Completion
2022-04-30
First posted
2021-04-01
Last updated
2022-02-24

Locations

1 site across 1 country: Italy

Source: ClinicalTrials.gov record NCT04825301. Inclusion in this directory is not an endorsement.

Application of Machine Learning Based Approaches in Emergency Department to Support Clinical Decision Managing SARS-CoV- (NCT04825301) · Clinical Trials Directory