Prediction of sustained opioid use in children and adolescents using machine learning

Opioid misuse in the paediatric population is understudied. This study aimed to develop a machine learning classifier to differentiate between occasional and sustained opioid users among children and adolescents in outpatient settings. Data for 29,335 patients under 19 yr with recorded opioid purcha...

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Veröffentlicht in:British journal of anaesthesia : BJA 2024-08, Vol.133 (2), p.351-359
Hauptverfasser: Atias, Dor, Tuttnauer, Aviv, Shomron, Noam, Obolski, Uri
Format: Artikel
Sprache:eng
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