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Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative data.
Graeßner, Martin; Jungwirth, Bettina; Frank, Elke; Schaller, Stefan Josef; Kochs, Eberhard; Ulm, Kurt; Blobner, Manfred; Ulm, Bernhard; Podtschaske, Armin Horst; Kagerbauer, Simone Maria.
Afiliação
  • Graeßner M; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
  • Jungwirth B; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
  • Frank E; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
  • Schaller SJ; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
  • Kochs E; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
  • Ulm K; Commercial department, Klinikum rechts der isar, Technical University of Munich, Munich, Germany.
  • Blobner M; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
  • Ulm B; Department of Anaesthesiology and Operative Intensive Care Medicine (CVK, CCM), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
  • Podtschaske AH; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
  • Kagerbauer SM; Department of Medical Statistics and Epidemiology, School of Medicine, Technical University of Munich, Munich, Germany.
Sci Rep ; 13(1): 7128, 2023 05 02.
Article em En | MEDLINE | ID: mdl-37130884
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article