Stepwise Biomarker Selection using Canonical Correlation Analysis, Forward Selection and Random Forests.

We apply Canonical Correlation Analysis for all possible -combinations () to determine the subset of biomarkers with the highest correlation with the sepsis severity score. The ‘Enter’ column indicates the biomarker that is added to achieve the highest correlation at each . The ‘Leave’ column indicates the biomarker that is eliminated from the combination at each . A biomarker will stay in the combination until it occurs in ‘Leave’ column. The ‘Forward Selection’ column gives the biomarker selected by the Forward Selection method when applied one biomarker at a time. The ‘Random Forests’ column gives the biomarker ranked by the mean decrease in accuracy measured by the Random Forests method.Stepwise Biomarker Selection using Canonical Correlation Analysis, Forward Selection and Random Forests.