Comparison of Random Forest and Stepwise Regression for Variable Selection Using Low Prevalence Predictors: A case Study in Paediatric Sepsis.

Introduction: Variable selection is a common technique to identify the most predictive variables from a pool of candidate predictors. Low prevalence predictors (LPPs) are frequently found in clinical data, yet few studies have explored their impact on model performance during variable selection. Thi...

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Publicado en:	Maternal & Child Health Journal Vol. 29; no. 5; pp. 604 - 614
Autores principales:	Gilholm, Patricia, Lister, Paula, Irwin, Adam, Harley, Amanda, Raman, Sainath, Schlapbach, Luregn J, Gibbons, Kristen S
Formato:	research tables/charts Journal Article
Publicado:	Springer Nature May2025
Acceso en línea:	Ver este registro en EBSCOhost