907. Technology and Medicine: Prediction of Surgical Site Infection in Clean Surgeries using Artificial Neural Networks

BACKGROUND: In Belo Horizonte, a city with 3,000,000 inhabitants, a survey was performed in six hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing clean surgery procedures. The main objective is to statistically evaluate such incidences and enable...

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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, Brant, Bruno Araujo, Carneiro, Flavia Cristina Barbosa, Ferreira, Maria Luiza Friche Passos, Oliveira, Nathália Trindade de Abreu, Costa, Nayara de Almeida, Tonaco, Vanessa de Carvalho
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/PMC7777306/
http://dx.doi.org/10.1093/ofid/ofaa439.1095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777306/
http://dx.doi.org/10.1093/ofid/ofaa439.1095

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