Towards a Keyword Extraction in Medical and Healthcare Education

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Authors

KOMENDA Martin KAROLYI Matěj VYŠKOVSKÝ Roman JEŽOVÁ Kateřina ŠČAVNICKÝ Jakub

Year of publication 2017
Type Article in Proceedings
Conference Federated Conference on Computer Science and Information Systems (FedCSIS)
MU Faculty or unit

Faculty of Medicine

Citation
Doi http://dx.doi.org/10.15439/2017F351
Field Informatics
Keywords Keyword Extraction in Medical
Description 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.
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