Publications by authors named "Giorgia Bertorelli"
Machine learning in perioperative medicine: a systematic review.
J Anesth Analg Crit Care
January 2022
Article Synopsis
- Risk stratification is crucial for anesthetic evaluation, and machine learning (ML) can effectively analyze large healthcare data to predict post-surgical outcomes.
- A systematic review of studies from January 2015 to March 2021 evaluated ML's role in risk prediction for surgeries, focusing on quality reporting using the TRIPOD checklist, which showed acceptable adherence in most studies.
- The main outcomes of interest included risks of mortality and complications, with techniques like random forest and gradient boosting identified as the most effective algorithms, achieving high performance ratings (AUC > 0.90).