MED-ENS: Upgrading machine learning ensembles to address medical challenges KU Leuven
Ensemble methods are widely used machine learning prediction algorithms, with an excellent predictive performance, combined with feasible computation times. They are used in many application areas, including medicine. This domain is confronted with several challenges that prohibit an optimal application of ensemble methods. These challenges include missing class labels (originating from patients that are difficult to diagnose or from the time ...