Comparative study of feature selection methods for EHR diagnosis codes in opioid use disorder prediction
Read the original at arxiv.org→arXiv:2608.04180v1 Announce Type: new Abstract: Feature selection is a critical step in electronic health record (EHR)-based predictive modeling, where input variables are often high-dimensional, sparse, noisy, and...
Original headline: "A Comparative Study of Feature Selection Methods for EHR Diagnosis Codes in Opioid Use Disorder Prediction"
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- Aug 6, 04:00 UTC arXiv cs.LG lead source A Comparative Study of Feature Selection Methods for EHR Diagnosis Codes in Opioid Use Disorder Prediction