Machine learning-based modeling of acute respiratory failure following emergency general surgery operations

BACKGROUND: Emergency general surgery (EGS) operations are associated with substantial risk of morbidity including postoperative respiratory failure (PRF). While existing risk models are not widely utilized and rely on traditional statistical methods, application of machine learning (ML) in predicti...

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Detalles Bibliográficos
Autores principales: Hadaya, Joseph, Verma, Arjun, Sanaiha, Yas, Ramezani, Ramin, Qadir, Nida, Benharash, Peyman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049563/
https://www.ncbi.nlm.nih.gov/pubmed/35482751
http://dx.doi.org/10.1371/journal.pone.0267733

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049563/
https://www.ncbi.nlm.nih.gov/pubmed/35482751
http://dx.doi.org/10.1371/journal.pone.0267733

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