Feature selection results in an information-rich vector of understandable features, ultimately leading to higher performing and more explainable models. The correct approach is to consider features in combination, in order to maximize the information available to the model.

Weighting patients according to demographic profile, allows for clearer comparison of potential risk factors, ultimately revealing true correlations between sub-groups and mortality rate/outcomes.