Rank-based relational methods for interpretable biomedical modeling: a taxonomic review
Rank-based relational methods represent biomedical samples through within-sample ordering relations between features rather than through absolute measured values. In biomedical modeling, such representations can provide compact and interpretable decision rules and may reduce sensitivity to some normalization choices...