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@inproceedings{1394052,
author = {Komenda, Martin and Karolyi, Matěj and Vyškovský, Roman and Ježová, Kateřina and Ščavnický, Jakub},
address = {New York},
booktitle = {Federated Conference on Computer Science and Information Systems (FedCSIS)},
doi = {http://dx.doi.org/10.15439/2017F351},
editor = {Ganzha, M; Maciaszek, L; Paprzycki, M.},
keywords = {Keyword Extraction in Medical},
howpublished = {tištěná verze "print"},
language = {eng},
location = {New York},
isbn = {978-83-946253-7-5},
pages = {173-176},
publisher = {IEEE},
title = {Towards a Keyword Extraction in Medical and Healthcare Education},
year = {2017}
}
TY - JOUR
ID - 1394052
AU - Komenda, Martin - Karolyi, Matěj - Vyškovský, Roman - Ježová, Kateřina - Ščavnický, Jakub
PY - 2017
TI - Towards a Keyword Extraction in Medical and Healthcare Education
PB - IEEE
CY - New York
SN - 9788394625375
KW - Keyword Extraction in Medical
N2 - 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.
ER -
KOMENDA, Martin, Matěj KAROLYI, Roman VYŠKOVSKÝ, Kateřina JEŽOVÁ and Jakub ŠČAVNICKÝ. Towards a Keyword Extraction in Medical and Healthcare Education. In Ganzha, M; Maciaszek, L; Paprzycki, M. \textit{Federated Conference on Computer Science and Information Systems (FedCSIS)}. New York: IEEE, 2017, p.~173-176. ISBN~978-83-946253-7-5. Available from: https://dx.doi.org/10.15439/2017F351.
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