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A Novel Machine Learning Approach to Predict Textbook Outcome in Colectomy.
Ashraf Ganjouei, Amir; Romero-Hernandez, Fernanda; Conroy, Patricia C; Miller, Phoebe N; Calthorpe, Lucia; Wang, Jaeyun Jane; Lin, Jackie J; Feng, Jean; Kirkwood, Kimberly S; Alseidi, Adnan; Sarin, Ankit; Adam, Mohamed A.
Afiliación
  • Ashraf Ganjouei A; Department of Surgery, University of California San Francisco, San Francisco, California.
  • Romero-Hernandez F; Department of Surgery, University of California San Francisco, San Francisco, California.
  • Conroy PC; Department of Surgery, University of California San Francisco, San Francisco, California.
  • Miller PN; Department of Surgery, University of California San Francisco, San Francisco, California.
  • Calthorpe L; Department of Surgery, University of California San Francisco, San Francisco, California.
  • Wang JJ; Department of Surgery, University of California San Francisco, San Francisco, California.
  • Lin JJ; School of Medicine, University of California San Francisco, San Francisco, California.
  • Feng J; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
  • Kirkwood KS; Division of Surgical Oncology, Department of Surgery, University of California San Francisco, San Francisco, California.
  • Alseidi A; Division of Surgical Oncology, Department of Surgery, University of California San Francisco, San Francisco, California.
  • Sarin A; Department of Surgery, University of California Davis, Sacramento, California.
  • Adam MA; Division of Surgical Oncology, Department of Surgery, University of California San Francisco, San Francisco, California.
Dis Colon Rectum ; 67(2): 322-332, 2024 Feb 01.
Article en En | MEDLINE | ID: mdl-37815314

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Neoplasias del Colon Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Dis Colon Rectum Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Neoplasias del Colon Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Dis Colon Rectum Año: 2024 Tipo del documento: Article