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posted on 2022-08-25, 17:30 authored by Drake G. Johnson, Vy Thuy Ho, Jennifer M. Hah, Keith Humphreys, Ian Carroll, Catherine Curtin, Steven M. Asch, Tina Hernandez-BoussardTable A. State Demographics. Table B. Opioids selected for inclusion, based on the National Drug Codes provided by the Center for Disease Control. Table C. ICD-9 and ICD-10 codes used for demographic data collection. Table D. Variable Missingness. Table E. Full List of Features by Code and Description. Figure A. Model Calibration Curves for PCA.
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use claims datapatient characteristics contributena &# 239model performance assessedlong acting oxycodoneemergency department claimsachieved average precisionincreased tablet quantityestablished risk factor6 anonymized states04 %) comparedchronic opioid usetablets per prescriptiontop performing modelfive machine learningauroc ), precision69 days ),initial opioid prescriptionsmodel included quantityduration predict progressionacute opioid use63 vs 24prescription quantityopioid prescriptionsopioid prescriptionvalidate machinerisk factorspredict progressionlearning algorithms6 vs44 %)ranking prescriptionprescription lengthrelated featuresmedicaid populationhigher proportionsfuture researchclinically modifiableacute pain2 vs
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