Researchgradient boostingrisk predictionelectronic health recordsopioid use disorder
Machine Learning Predicts 3-Month Incident OUD
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Relevance Score
Researchers used 2017–2022 OneFlorida+ EHR data to develop and validate a machine learning model predicting 3-month incident opioid use disorder among 182,083 adults initiating opioid therapy. A gradient boosting machine achieved a C-statistic of 0.879 in internal validation and 0.756 on external UPMC data; top decile risk stratification captured ~68% of cases (PPV 3.26%, NNE 31).
