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Addressing bias in feature importances derived from XGBoost. Response to Br J Anaesth 2025;134:613-5

  • Dor Atias
  • , Uri Obolski*
  • *Corresponding author for this work
  • Maccabi Healthcare Services

Research output: Contribution to journalLetterpeer-review

1 Scopus citations
Original languageEnglish
Pages (from-to)1267
Number of pages1
JournalBritish Journal of Anaesthesia
Volume134
Issue number4
DOIs
StatePublished - Apr 2025

Keywords

  • SHAP analysis
  • artificial intelligence
  • bias
  • machine learning
  • opioid use

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