Automatic analysis of summary statements in virtual patients - a pilot study evaluating a machine learning approach

BACKGROUND: The ability to compose a concise summary statement about a patient is a good indicator for the clinical reasoning abilities of healthcare students. To assess such summary statements manually a rubric based on five categories - use of semantic qualifiers, narrowing, transformation, accura...

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Detalles Bibliográficos
Autores principales: Hege, Inga, Kiesewetter, Isabel, Adler, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565765/
https://www.ncbi.nlm.nih.gov/pubmed/33066789
http://dx.doi.org/10.1186/s12909-020-02297-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565765/
https://www.ncbi.nlm.nih.gov/pubmed/33066789
http://dx.doi.org/10.1186/s12909-020-02297-w

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