Dascena
Oakland, California, 94612-2603, United States
NCT Number: NCT04358510
The objective of this study is to develop and evaluate an algorithm which accurately predicts mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.
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Notify Me18 year and older
All sexes
Observational
Oakland, California, 94612-2603, United States
Retrospective study of 53,001 total ICU patients, including 9,166 patients with pneumonia and 25,895 mechanically ventilated patients, performed on the MIMIC dataset. The NPH patient dataset includes 114 patients positive for SARS-COV-2 by PCR test.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The COViage machine learning algorithm is designed to predict mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.
Time frame: Through study completion, an average of 2 months
Deceased or not deceased
Time frame: Through study completion, an average of 2 months
Deceased or not deceased
Time frame: Through study completion, an average of 2 months
Deceased or not deceased
Dascena
Industry
Mortality Prediction Model for the Triage of COVID-19, Pneumonia and Mechanically Ventilated ICU Patients
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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