COVID-19 Mortality Prediction Model

Mortality Prediction Model for the Triage of COVID-19, Pneumonia and Mechanically Ventilated ICU Patients

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.

Inclusion Criteria:

• Patients aged 18 years or older
• Record of ICU stay

Exclusion Criteria:

• Patients aged less than 18 years
• Patients for which there were no records of raw data or no discharge or death dates.