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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