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MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Tabular Prediction
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 that propose diverse feature transformations to boost downstream performance. However, the feature
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