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Table 3 Internal Model Fit on first 60% of admissions for mortality and criticality

From: Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models

Model

Method

Key parameter

Covariates

Mortality

Random forest

Number of estimators: 100

Max depth: 5

Minimum sample Split: 3

Age, diastolic pressure, O2 Sat, BMI, AST, creatinine, CRP, ferritin, platelet, RDW, WBC

Criticality

Random forest

Number of estimators: 100

Max depth: 5

Minimum sample Split: 2

Age, O2 Sat, ALT, AST, creatinine, CRP, ferritin, platelet, RDW, WBC, neutrophil/lymphocyte ratio

  1. ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; CRP, C-reactive protein; O2 Sat, oxygen saturation; RDW, red blood cell distribution width; WBC, white blood cell count