Prediction of Ureteral Injury During Colorectal Surgery Using Machine Learning.

Chen, Kevin A; Joisa, Chinmaya U; Stem, Jonathan M; Guillem, Jose G; Gomez, Shawn M; Kapadia, Muneera R

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 at Chapel Hill, NC, USA.
Joisa CU; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, NC, USA.
Stem JM; Department of Surgery, University of North Carolina at Chapel Hill, NC, USA.
Guillem JG; Department of Surgery, University of North Carolina at Chapel Hill, NC, USA.
Gomez SM; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, NC, USA.
Kapadia MR; Department of Surgery, University of North Carolina at Chapel Hill, NC, USA.

Am Surg ; 89(12): 5702-5710, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37133432

Assuntos

Traumatismos Abdominais; Cirurgia Colorretal; Procedimentos Cirúrgicos do Sistema Digestório; Humanos; Cirurgia Colorretal/efeitos adversos; Bases de Dados Factuais; Aprendizado de Máquina

Palavras-chave

artificial intelligence; colorectal surgery; machine learning; ureteral injury

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Procedimentos Cirúrgicos do Sistema Digestório / Cirurgia Colorretal / Traumatismos Abdominais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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