MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Tabular Prediction.

arXiv:2603.02221v3 Announce Type: replace-cross Abstract: In clinical tabular prediction, classical machine learning models with feature engineering often outperform neural methods. LLMs are increasingly used to automate this process, acting as domain experts