A machine learning model to predict the need for conversion of operative approach in patients undergoing colectomy for neoplasm.

Guidolin, Keegan; Ng, Deanna; Zorigtbaatar, Anudari; Chadi, Sami; Quereshy, Fayez

Guidolin, Keegan; Ng, Deanna; Zorigtbaatar, Anudari; Chadi, Sami; Quereshy, Fayez.

Afiliação

Guidolin K; Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Ng D; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
Zorigtbaatar A; Department of Surgery, University Health Network, Toronto, Ontario, Canada.
Chadi S; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
Quereshy F; Department of Surgery, Mount Sinai Hospital, Toronto, Ontario, Canada.

Cancer Rep (Hoboken) ; 7(1): e1917, 2024 01.

Article em En | MEDLINE | ID: mdl-37884442

Assuntos

Neoplasias Colorretais; Humanos; Estudos Retrospectivos; Neoplasias Colorretais/cirurgia; Modelos Logísticos; Colectomia

Palavras-chave

colectomy; colorectal cancer; conversion; machine learning; surgical approach

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo

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XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article