Prediction of thirty-day morbidity and mortality after duodenal switch using an artificial neural network.

Wise, Eric; Leslie, Daniel; Amateau, Stuart; Hocking, Kyle; Scott, Adam; Dutta, Nirjhar; Ikramuddin, Sayeed

Wise, Eric; Leslie, Daniel; Amateau, Stuart; Hocking, Kyle; Scott, Adam; Dutta, Nirjhar; Ikramuddin, Sayeed.

Afiliación

Wise E; Department of Surgery, University of Minnesota, 420 East Delaware St, Mayo Mail Code 195, Minneapolis, MN, 55455, USA. wise0147@umn.edu.
Leslie D; Department of Surgery, University of Minnesota, 420 East Delaware St, Mayo Mail Code 195, Minneapolis, MN, 55455, USA.
Amateau S; Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
Hocking K; Department of Surgery, Vanderbilt University School of Medicine, Nashville, TN, USA.
Scott A; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Dutta N; University of Minnesota Medical School- Twin Cities Campus, Minneapolis, MN, USA.
Ikramuddin S; Department of Medicine, University of Minnesota, Minneapolis, MN, USA.

Surg Endosc ; 37(2): 1440-1448, 2023 02.

Article en En | MEDLINE | ID: mdl-35764835

Asunto(s)

Cirugía Bariátrica; Procedimientos Quirúrgicos del Sistema Digestivo; Hipertensión; Apnea Obstructiva del Sueño; Humanos; Redes Neurales de la Computación; Morbilidad

Palabras clave

Artificial neural network; Bariatric surgery; Duodenal switch; Outcomes

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procedimientos Quirúrgicos del Sistema Digestivo / Apnea Obstructiva del Sueño / Cirugía Bariátrica / Hipertensión Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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