Different artificial neural networks for predicting burnout risk in Italian anesthesiologists

Different artificial neural networks for predicting burnout risk in Italian anesthesiologists

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Marco Cascella, Alessandro Simonini, Sergio Coluccia, Elena Giovanna Bignami, Gilberto Fiore, Emiliano Petrucci, Alessandro Vergallo, Giacomo Sollecchia, Franco Marinangeli, Roberto Pedone, Alessandro Vittori
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Journal of Anesthesia, Analgesia and Critical Care
Subjects:
Burnout
Anesthesiologists
Mental health
Artificial intelligence
Artificial neural networks
Anesthesia
Online Access:https://doi.org/10.1186/s44158-025-00255-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items