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.
Machine learning based opioid overdose prediction using electronic health records
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.