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Using Explainable Artificial Intelligence Models (ML) to Predict Suspected Diagnoses as Clinical Decision Support.
Ritter, Zully; Vogel, Stefan; Schultze, Frank; Pischek-Koch, Kerstin; Schirrmeister, Wiebke; Walcher, Felix; Röhrig, Rainer; Kesztyüs, Tibor; Krefting, Dagmar; Blaschke, Sabine.
Afiliação
  • Ritter Z; Institute of Medical Informatics, University Medicine Göttingen, Georg-August University, Göttingen, Germany.
  • Vogel S; Institute of Medical Informatics, University Medicine Göttingen, Georg-August University, Göttingen, Germany.
  • Schultze F; Central Emergency Department, University Medicine Göttingen, Georg-August University, Göttingen, Germany.
  • Pischek-Koch K; Institute of Medical Informatics, University Medicine Göttingen, Georg-August University, Göttingen, Germany.
  • Schirrmeister W; Department of Trauma Surgery, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
  • Walcher F; Department of Trauma Surgery, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
  • Röhrig R; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
  • Kesztyüs T; AKTIN-Research Group, Germany.
  • Krefting D; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
  • Blaschke S; Institute of Medical Informatics, University Medicine Göttingen, Georg-August University, Göttingen, Germany.
Stud Health Technol Inform ; 294: 573-574, 2022 May 25.
Article em En | MEDLINE | ID: mdl-35612150
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article