An Explainable Ensemble Machine Learning Framework for PCOS Risk Prediction Using Clinical and Hormonal Data
The proposed explainable ensemble framework presents a scalable, accurate, and interpretable decision support system for PCOS that is feasible to adopt in practical healthcare environments, especially in rural areas where medical resources are limited and more medical aids for the detection of such diseases are desperately needed.