Research Article

Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients

Table 2

Rank of parameter importance after stepwise parameter selection.

RankLRSVMXGB

1stPCITroponin ITroponin I
2ndDiabetes mellitusCCITotal epinephrine dose
3rdHemoglobinDementiaHeart failure
4thTroponin IDiabetes ketoacidosisPCI
5thDementiaPCIAmiodarone use
6thCCINorepinephrine useCalcium use
7thNorepinephrine useECMODementia
8thLiver cirrhosisPulmonary embolismSodium bicarbonate use
9thHypokalemiaAmiodarone useBand neutrophil
10thTumor metastasisPneumothoraxMalignancy
11thTumor metastasisAcute myocardial infarction
12thAcidosis

LR: logistic regression; SVM: support vector machine; XGB: extreme gradient boosting; PCI: percutaneous coronary intervention; CCI: Charlson comorbidity index; ECMO: extracorporeal membrane oxygenation.