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Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network
Julio Alejandro Cedenoa,
Corresponding author
jalejo.94@gmail.com

Corresponding author.
, Tania Mara Varejão Strabellia, Bruno Adler Maccagnan Pinheiro Besenc, Rafael de Freitas Souzad, Denise Blini Sierraa, Leticia Rodrigues Goulart de Souzaa, Samuel Terra Gallafrioa, Cely Saad Abboudb, Diego Ferianib, Rinaldo Focaccia Sicilianoa
a Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
b Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil
c Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
d Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto (FEARPUSP), Universidade de São Paulo, SP, Brazil
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ISSN: 14138670
Original language: English
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The Brazilian Journal of Infectious Diseases