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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
BACKGROUND: Written medical examinations consist of multiple-choice questions and/or free-text answers. The latter require manual evaluation and rating, which is time-consuming and potentially error-prone. We tested whether natural language processing (NLP) can be used to automatically analyze free-...
Autores principales: | Stoehr, Fabian, Kämpgen, Benedikt, Müller, Lukas, Zufiría, Laura Oleaga, Junquero, Vanesa, Merino, Cristina, Mildenberger, Peter, Kloeckner, Roman |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509084/ https://www.ncbi.nlm.nih.gov/pubmed/37726485 http://dx.doi.org/10.1186/s13244-023-01507-5 |
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