A Comparative Study of Feature Selection Methods for EHR Diagnosis Codes in Opioid Use Disorder Prediction
This study focuses on diagnosis-related features and compares five feature selection paradigms for opioid use disorder prediction: recurrence enrichment, NTK-motivated early gradient sensitivity, LightGBM-SHAP, Elastic Net, and large language model (LLM)-guided semantic selection.
Zi-Han Ding, Yi-Nan Liu, T. Ma et al.
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