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Table 1 Different feature selection results

From: Prediction of neonatal deaths in NICUs: development and validation of machine learning models

Feature selection Method Selected features
Neonatologist opinion 17 features BW, GA, Preterm birth, SGA, Parental care, Mother disease, RDS, Steroid therapy, Surfactant administration, Pulmonary hemorrhage, NEC, Congenital malformation, Sepsis, Asphyxia, IVH, Intubation, Ventilation
Non-parametric Mann–Whitney and Chi-square test (p-value < 0.05) 13 features BW, GA, Preterm birth, SGA, Mother disease, RDS, Surfactant administration, Pulmonary hemorrhage, Congenital malformation, Sepsis, IVH, Intubation, Ventilation
Non-parametric Mann–Whitney and Chi-square test (p-value >  0.2) 14 features BW, GA, Preterm birth, SGA, Mother disease, RDS, Surfactant administration, Pulmonary hemorrhage, Asphyxia, Congenital malformation, Sepsis, IVH, Intubation, Ventilation
IBM SPSS modeler feature selection method 12 features BW, GA, Preterm birth, SGA, RDS, Surfactant administration, Pulmonary hemorrhage, Congenital malformation, IVH, Intubation, Ventilation, NEC
CfsSubsetEva method in Weka 5 features SGA, Parental care, Pulmonary hemorrhage, Intubation, Ventilation