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Improved Prediction of Surgical-Site Infection After Colorectal Surgery Using Machine Learning.
Chen, Kevin A; Joisa, Chinmaya U; Stem, Jonathan M; Guillem, Jose G; Gomez, Shawn M; Kapadia, Muneera R.
Afiliação
  • Chen KA; Department of Surgery, University of North Carolina Chapel Hill, North Carolina.
  • Joisa CU; Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina.
  • Stem JM; Department of Surgery, University of North Carolina Chapel Hill, North Carolina.
  • Guillem JG; Department of Surgery, University of North Carolina Chapel Hill, North Carolina.
  • Gomez SM; Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina.
  • Kapadia MR; Department of Surgery, University of North Carolina Chapel Hill, North Carolina.
Dis Colon Rectum ; 66(3): 458-466, 2023 03 01.
Article em En | MEDLINE | ID: mdl-36538699
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Cirurgia Colorretal Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Cirurgia Colorretal Idioma: En Ano de publicação: 2023 Tipo de documento: Article