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.
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| Title: | 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. |
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| Authors: | Cedeno JA; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil. Electronic address: jalejo.94@gmail.com., Strabelli TMV; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Besen BAMP; Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Souza RF; Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto (FEARPUSP), Universidade de São Paulo, SP, Brazil., Sierra DB; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., de Souza LRG; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Gallafrio ST; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Abboud CS; Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil., Feriani D; Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil., Siciliano RF; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil. |
| Source: | The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases [Braz J Infect Dis] 2025 Mar-Apr; Vol. 29 (2), pp. 104510. Date of Electronic Publication: 2025 Feb 21. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Elsevier Editora Country of Publication: Brazil NLM ID: 9812937 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1678-4391 (Electronic) Linking ISSN: 14138670 NLM ISO Abbreviation: Braz J Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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