Towards a Keyword Extraction in Medical and Healthcare Education

• Autoři: KOMENDA Martin; KAROLYI Matěj; VYŠKOVSKÝ Roman; JEŽOVÁ Kateřina; ŠČAVNICKÝ Jakub
• Rok publikování: 2017
• Druh: Článek ve sborníku
• Konference: Federated Conference on Computer Science and Information Systems (FedCSIS)
• Fakulta / Pracoviště MU: Lékařská fakulta
• Doi: http://dx.doi.org/10.15439/2017F351
• Obor: Informatika
• Klíčová slova: Keyword Extraction in Medical
• Popis: Medical and healthcare study programmes cover various curricula consisting of many theoretically focused courses and clinical teaching training. Curriculum attributes usually contains thousands of requirements on the form of knowledge and skills which fully define a complete graduate profile. It is not humanly possible to go through the entire curriculum or to imagine how the individual courses, learning units, outcomes and branches of medicine are interrelated. This paper introduces an innovative analytical approach which helps to identify automatically the most frequent topics based on keyword extraction. Moreover, the transparent and clear webbased visualisation of achieved results is shown in practice.

Související projekty

• MERGER: detekce vazeb mezi informačními systémy pro mapování kurikula a pro virtuální pacienty
• Portál OPTIMED – implementace nových funkcí pro efektivní vyhledávání