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Table 6 Feature importances for RF/CBC/DIFF/1/boruta. Features listed in table include hemoglobin (HGB(g/L)); red blood cell count (\(RBC(10^{12}/L)\)); absolute basophil count (\(BASO\#(10^9/L)\)); platelet count (\(PLT(10^9/L)\)); red blood cell distribution width (RDW-CV(%)); white blood cell count (\(WBC(10^9/L)\)); absolute eosinophil count (\(EO\#(10^9/L)\)); absolute neutrophil count (\(NEUT\#(10^9/L)\)); relative percentage of basophils (BASO%(%)); monocyte lymphocyte ratio (MLR); absolute monocyte count (\(MONO\#(10^9/L)\)); absolute lymphocyte count (\(LYMPH\#(10^9/L)\)); relative percentage of eosinophils (EO%(%)); relative percentage of lymphocytes (LYMPH%(%)); relative percentage of monocytes (MONO%(%)); neutrophil lymphocyte ratio (NLR); relative percentage neutrophils (NEUT%(%))

From: Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia

Feature

Importance

HGB(g/L)

0.003

\(RBC(10^{12}/L)\)

0.003

\(BASO\#(10^9/L)\)

0.008

\(PLT(10^9/L)\)

0.008

RDW-CV(%)

0.009

\(WBC(10^9/L)\)

0.015

\(EO\#(10^9/L)\)

0.026

\(NEUT\#(10^9/L)\)

0.028

BASO%(%)

0.030

MLR

0.036

\(MONO\#(10^9/L)\)

0.058

\(LYMPH\#(10^9/L)\)

0.063

EO%(%)

0.071

LYMPH%(%)

0.127

MONO%(%)

0.132

NLR

0.158

NEUT%(%)

0.224