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Natural language processing for automatic evaluation of free-text answers - a feasibility study based on the European Diploma in Radiology examination.
Stoehr, Fabian; Kämpgen, Benedikt; Müller, Lukas; Zufiría, Laura Oleaga; Junquero, Vanesa; Merino, Cristina; Mildenberger, Peter; Kloeckner, Roman.
Afiliación
  • Stoehr F; Department of Diagnostic and Interventional Radiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckst, 1, 55131, Mainz, Germany.
  • Kämpgen B; Empolis Information Management GmbH, Leightonstraße 2, 97074, Würzburg, Germany.
  • Müller L; Department of Diagnostic and Interventional Radiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckst, 1, 55131, Mainz, Germany.
  • Zufiría LO; Department of Radiology, Hospital Clínic de Barcelona, C. de Villarroel, 170, 08036, Barcelona, Spain.
  • Junquero V; European Board of Radiology (EBR), Barcelona, Spain.
  • Merino C; European Board of Radiology (EBR), Barcelona, Spain.
  • Mildenberger P; Department of Diagnostic and Interventional Radiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckst, 1, 55131, Mainz, Germany.
  • Kloeckner R; Institute of Interventional Radiology, University Hospital Schleswig-Holstein, Campus Luebeck, Ratzeburger Allee 160, 23583, Luebeck, Germany. Roman.Kloeckner@uksh.de.
Insights Imaging ; 14(1): 150, 2023 Sep 19.
Article en En | MEDLINE | ID: mdl-37726485
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article