Different artificial neural networks for predicting burnout risk in Italian anesthesiologists.

Journal: Journal of anesthesia, analgesia and critical care
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Burnout (BO) is a serious issue affecting professionals across various sectors, leading to adverse psychological and occupational consequences, even in anesthesiologists. Machine learning, particularly neural networks, can offer effective data-driven approaches to identifying BO risk more accurately. This study aims to develop and evaluate different artificial dense neural network (DNN)-based models to predict BO based on occupational, psychological, and behavioral factors.

Authors

  • Marco Cascella
    Department of Medicine, Surgery and Dentistry, University of Salerno, 84081, Baronissi, Italy.
  • Alessandro Simonini
    Pediatric Anesthesia and Intensive Care Unit AOU delle Marche, Salesi Children's Hospital, 60121, Ancona, Italy.
  • Sergio Coluccia
    Branch of Medical Statistics, Biometry and Epidemiology "G. A. Maccacaro", Department of Clinical Sciences and Community Health, Dipartimento di Eccellenza 2023-2027, Università degli Studi di Milano, 20133 Milan, Italy.
  • Elena Giovanna Bignami
    Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
  • Gilberto Fiore
    Department of Anesthesia and Intensive Care, Hospital of Santa Croce Di Moncalieri, Turin, 10024, Italy.
  • Emiliano Petrucci
    Department of Anesthesia and Intensive Care Unit, San Salvatore Academic Hospitalof, L'Aquila, 67100, Italy.
  • Alessandro Vergallo
    Department of Anesthesia and Intensive Care, Spedali Civili di Brescia, 25121 , Brescia, Italy.
  • Giacomo Sollecchia
    Department of Anesthesiology, Intensive Care and Pain Treatment, University of L'Aquila, L'Aquila, 67100, Italy.
  • Franco Marinangeli
  • Roberto Pedone
    Department of Psychology, University of Campania Luigi Vanvitelli, Caserta, 8100 , Italy.
  • Alessandro Vittori
    Department of Anesthesia and Critical Care, ARCO ROMA, Ospedale Pediatrico Bambino Gesù IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy.

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