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Development of machine learning and multivariable models for predicting blood transfusion in head and neck microvascular reconstruction for risk-stratified patient blood management.
Puladi, Behrus; Ooms, Mark; Rieg, Annette; Taubert, Max; Rashad, Ashkan; Hölzle, Frank; Röhrig, Rainer; Modabber, Ali.
Afiliação
  • Puladi B; Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany.
  • Ooms M; Institute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany.
  • Rieg A; SMITH Consortium of the German Medical Informatics Initiative in Aachen, Aachen, Germany.
  • Taubert M; Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany.
  • Rashad A; Department of Anaesthesiology, University Hospital RWTH Aachen, Aachen, Germany.
  • Hölzle F; Center for Pharmacology, Department I of Pharmacology, Medical Faculty, University of Cologne, Cologne, Germany.
  • Röhrig R; Institute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany.
  • Modabber A; SMITH Consortium of the German Medical Informatics Initiative in Aachen, Aachen, Germany.
Head Neck ; 45(6): 1389-1405, 2023 06.
Article em En | MEDLINE | ID: mdl-37070282
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Retalhos Cirúrgicos / Transfusão de Sangue Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Retalhos Cirúrgicos / Transfusão de Sangue Idioma: En Ano de publicação: 2023 Tipo de documento: Article