Study Compares Encoding and Sampling for Medical AI

medical artificial intelligence researchers systematically compare categorical encoding and sampling techniques to improve generalizability of models trained on imbalanced structured clinical data. The study quantifies how preprocessing choices affect model performance and generalization in clinical machine learning workflows.