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A machine learning approach to high-risk cardiac surgery risk scoring.
Rogers, Michael P; Janjua, Haroon; Fishberger, Gregory; Harish, Abhinav; Sujka, Joseph; Toloza, Eric M; DeSantis, Anthony J; Hooker, Robert L; Pietrobon, Ricardo; Lozonschi, Lucian; Kuo, Paul C.
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  • Rogers MP; Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • Janjua H; Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • Fishberger G; Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • Harish A; Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • Sujka J; Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • Toloza EM; Department of Oncologic Sciences, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • DeSantis AJ; Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • Hooker RL; Department of Surgery, Division of Cardiothoracic Surgery, University of Arizona, Tuscon, Arizona, USA.
  • Pietrobon R; SporeData Inc., Durham, North Carolina, USA.
  • Lozonschi L; Division of Cardiothoracic Surgery and Transplantation, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
  • Kuo PC; Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.
J Card Surg ; 37(12): 4612-4620, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36345692
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diálisis Renal / Procedimientos Quirúrgicos Cardíacos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Card Surg Asunto de la revista: CARDIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diálisis Renal / Procedimientos Quirúrgicos Cardíacos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Card Surg Asunto de la revista: CARDIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos