Application of machine learning to the prediction of postoperative sepsis after appendectomy

BACKGROUND: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to evaluate utility of such methods and identify factors associated with postoperative sepsis in these patients. METHODS: The National Surgery Quality I...

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Detalhes bibliográficos
Publicado no:Surgery
Main Authors: Bunn, Corinne, Kulshrestha, Sujay, Boyda, Jason, Balasubramanian, Neelam, Birch, Steven, Karabayir, Ibrahim, Baker, Marshall, Luchette, Fred, Modave, François, Akbilgic, Oguz
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7927311/
https://ncbi.nlm.nih.gov/pubmed/32951903
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.surg.2020.07.045
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