NTK-motivated early-gradient sensitivity offers the best accuracy-stability trade-off for OUD diagnosis-code feature selection, though the benchmark's fairness is undermined by potential label leakage.
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning
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A Comparative Study of Feature Selection Methods for EHR Diagnosis Codes in Opioid Use Disorder Prediction
NTK-motivated early-gradient sensitivity offers the best accuracy-stability trade-off for OUD diagnosis-code feature selection, though the benchmark's fairness is undermined by potential label leakage.