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.
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.
Study Type
OBSERVATIONAL
Enrollment
114
The COViage machine learning algorithm is designed to predict mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.
Dascena
Oakland, California, United States
Mortality outcome in COVID-19 ICU patients
Deceased or not deceased
Time frame: Through study completion, an average of 2 months
Mortality outcome in mechanically ventilated ICU patients
Deceased or not deceased
Time frame: Through study completion, an average of 2 months
Mortality outcome in pneumonia ICU patients
Deceased or not deceased
Time frame: Through study completion, an average of 2 months
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