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Using machine learning to predict early readmission following esophagectomy.
Bolourani, Siavash; Tayebi, Mohammad A; Diao, Li; Wang, Ping; Patel, Vihas; Manetta, Frank; Lee, Paul C.
Afiliación
  • Bolourani S; The Feinstein Institutes for Medical Research, Manhasset, NY; Elmezzi Graduate School of Molecular Medicine, Manhasset, NY; Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY; Department of Cardiovascular and Thoracic Surgery, Donald and Barbara Z
  • Tayebi MA; School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada.
  • Diao L; The Feinstein Institutes for Medical Research, Manhasset, NY.
  • Wang P; The Feinstein Institutes for Medical Research, Manhasset, NY; Elmezzi Graduate School of Molecular Medicine, Manhasset, NY; Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY.
  • Patel V; Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY.
  • Manetta F; Department of Cardiovascular and Thoracic Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY.
  • Lee PC; Department of Cardiovascular and Thoracic Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY. Electronic address: plee15@northwell.edu.
J Thorac Cardiovasc Surg ; 161(6): 1926-1939.e8, 2021 06.
Article en En | MEDLINE | ID: mdl-32711985

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Readmisión del Paciente / Esofagectomía / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Thorac Cardiovasc Surg Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Readmisión del Paciente / Esofagectomía / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Thorac Cardiovasc Surg Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos