What is ensemble learning in healthcare diagnosis systems?

Healthcare ensembles combine multiple diagnostic models to improve accuracy and reliability.

Healthcare systems use ensembles to combine predictions from imaging models, clinical data models, and statistical risk models. This reduces false negatives, which are critical in diagnosis. Ensembles also provide uncertainty estimates, helping doctors interpret results. Techniques include stacking CNNs for imaging with structured data models for patient records.