880. Artificial Neural Networks to Predict Surgical Site Infection in Aorta Artery Aneurysm Correction

BACKGROUND: A survey was conducted in three hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing surgeries to correct aortic artery aneurysms in the city of Belo Horizonte, with more than 3,000,000 of inhabitants. The general objective is to statisti...

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Detalles Bibliográficos
Autores principales: de Souza, Flávio Henrique Batista, Couto, Braulio Roberto Gonçalves Marinho, da Conceição, Felipe Leandro Andrade, da Silva, Gabriel Henrique Silvestre, Dias, Igor Gonçalves, Rigueira, Rafael Vieira Magno, Pimenta, Gustavo Maciel, Martins, Maurilio B, Mendes, Júlio César O, Januário, Guilherme Brangioni, Oliveira, Rayane Thamires, de Vasconcelos, Laura Ferraz, de Araújo, Laís L, Rodrigues, Ana Clara Resende, Silva, Camila Morais Oliveira E, De Souza, Eduarda Viana, Melo, Júlia Faria, Assunção De Sá, Maria Cláudia, Silva, Walquíria Magalhães, Araujo, Allana Luiza Padilha, Magalhães, Bianca Braga, Caetano, Caio Vieira, Guerra, Carine Marina Dias, Braga, Giovanna Lima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Poster Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776555/
http://dx.doi.org/10.1093/ofid/ofaa439.1068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776555/
http://dx.doi.org/10.1093/ofid/ofaa439.1068

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