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Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction.
Truchot, Agathe; Raynaud, Marc; Kamar, Nassim; Naesens, Maarten; Legendre, Christophe; Delahousse, Michel; Thaunat, Olivier; Buchler, Matthias; Crespo, Marta; Linhares, Kamilla; Orandi, Babak J; Akalin, Enver; Pujol, Gervacio Soler; Silva, Helio Tedesco; Gupta, Gaurav; Segev, Dorry L; Jouven, Xavier; Bentall, Andrew J; Stegall, Mark D; Lefaucheur, Carmen; Aubert, Olivier; Loupy, Alexandre.
Afiliación
  • Truchot A; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France.
  • Raynaud M; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France.
  • Kamar N; Université Paul Sabatier, INSERM, Department of Nephrology and Organ Transplantation, CHU Rangueil and Purpan, Toulouse, France.
  • Naesens M; Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
  • Legendre C; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Delahousse M; Department of Transplantation, Nephrology and Clinical Immunology, Foch Hospital, Suresnes, France.
  • Thaunat O; Department of Transplantation, Nephrology and Clinical Immunology, Hospices Civils de Lyon, Lyon, France.
  • Buchler M; Nephrology and Immunology Department, Bretonneau Hospital, Tours, France.
  • Crespo M; Department of Nephrology, Hospital del Mar Barcelona, Barcelona, Spain.
  • Linhares K; Hospital do Rim, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
  • Orandi BJ; University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, USA.
  • Akalin E; Renal Division, Montefiore Medical Centre, Kidney Transplantation Program, Albert Einstein College of Medicine, New York, New York, USA.
  • Pujol GS; Unidad de Trasplante Renopancreas, Centro de Educacion Medica e Investigaciones Clinicas Buenos Aires, Buenos Aires, Argentina.
  • Silva HT; Hospital do Rim, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
  • Gupta G; Division of Nephrology, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
  • Segev DL; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Jouven X; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Cardiology Department, European Georges Pompidou Hospital, Paris, France.
  • Bentall AJ; William J von Liebig Centre for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota, USA.
  • Stegall MD; William J von Liebig Centre for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota, USA.
  • Lefaucheur C; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Aubert O; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Loupy A; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France. Electronic address: alexandre.loupy@inserm.fr.
Kidney Int ; 103(5): 936-948, 2023 05.
Article en En | MEDLINE | ID: mdl-36572246
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Riñón / Insuficiencia Renal Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Kidney Int Año: 2023 Tipo del documento: Article País de afiliación: Francia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Riñón / Insuficiencia Renal Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Kidney Int Año: 2023 Tipo del documento: Article País de afiliación: Francia