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Machine learning and predictive models: 2 years of Sars-CoV-2 pandemic in a single-center retrospective analysis.

Michela RauseoMarco PerriniCrescenzio GalloLucia MirabellaKarim MarianoGiuseppe FerraraFilomena SantoroLivio TulloDaniela La BellaPaolo VetuschiGilda Cinnella
Published in: Journal of Anesthesia, Analgesia and Critical Care (Online) (2022)
In our cohort of COVID patients, the choice of the right ventilatory support at the right time has been crucial, severity scores, and clinical judgment gave support in identifying patients at risk of developing a severe disease, comorbidities showed a lower weight than expected considering the main outcome, and machine learning method integration could be a fundamental statistical tool in the comprehensive evaluation of such complex diseases.
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