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

Journal: British journal of anaesthesia
Published Date: Jun 10, 2024

Abstract

BACKGROUND: 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.

Authors

  • Dor Atias
    School of Public Health, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Aviv Tuttnauer
    Department of Anesthesia, Pain Treatment Service, Schneider Children's Medical Center of Israel, Petach Tikva, Israel.
  • Noam Shomron
    Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. nshomron@tauex.tau.ac.il.
  • Uri Obolski
    School of Public Health, Department of Epidemiology and Preventive Medicine, Tel-Aviv University, Tel-Aviv, Israel.

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