| KOMENDA, Martin, Matěj KAROLYI, Andrea POKORNÁ, Martin VÍTA and Vincent KRÍŽ. Automatic Keyword Extraction from Medical and Healthcare Curriculum. In Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki. Annals of Computer Science and Information Systems, Volume 8 : Proceedings of the 2016 Federated Conference on Computer Science and Information Systems. Warzaw; Los Alamitos: Polskie Towarzystwo Informatyczne; Institute of Electrical and Electronics Engineers, 2016, p. 287-290. ISBN 978-83-60810-90-3. Available from: https://dx.doi.org/10.15439/2016F156. |
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@inproceedings{1347762,
author = {Komenda, Martin and Karolyi, Matěj and Pokorná, Andrea and Víta, Martin and Kríž, Vincent},
address = {Warzaw; Los Alamitos},
booktitle = {Annals of Computer Science and Information Systems, Volume 8 : Proceedings of the 2016 Federated Conference on Computer Science and Information Systems},
doi = {http://dx.doi.org/10.15439/2016F156},
editor = {Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki},
keywords = {automatic keyword extraction; medical and healthcare curriculum; CRIPS-DM},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Warzaw; Los Alamitos},
isbn = {978-83-60810-90-3},
pages = {287-290},
publisher = {Polskie Towarzystwo Informatyczne; Institute of Electrical and Electronics Engineers},
title = {Automatic Keyword Extraction from Medical and Healthcare Curriculum},
url = {https://fedcsis.org/proceedings/2016/drp/156.html},
year = {2016}
}
TY - JOUR
ID - 1347762
AU - Komenda, Martin - Karolyi, Matěj - Pokorná, Andrea - Víta, Martin - Kríž, Vincent
PY - 2016
TI - Automatic Keyword Extraction from Medical and Healthcare Curriculum
PB - Polskie Towarzystwo Informatyczne; Institute of Electrical and Electronics Engineers
CY - Warzaw; Los Alamitos
SN - 9788360810903
KW - automatic keyword extraction
KW - medical and healthcare curriculum
KW - CRIPS-DM
UR - https://fedcsis.org/proceedings/2016/drp/156.html
L2 - https://fedcsis.org/proceedings/2016/drp/156.html
N2 - Medical and healthcare study programmes are quite complicated in terms of branched structure and heterogeneous content. In logical sequence a lot of requirements and demands placed on students appear there. This paper focuses on an innovative way how to discover and understand complex curricula using modern information and communication technologies. We introduce an algorithm for curriculum metadata automatic processing -- automatic keyword extraction based on unsupervised approaches, and we demonstrate a real application during a process of innovation and optimization of medical education. The outputs of our pilot analysis represent systematic description of medical curriculum by three different approaches (centrality measures) used for relevant keywords extraction. Further evaluation by senior curriculum designers and guarantors is required to obtain an objective benchmark.
ER -
KOMENDA, Martin, Matěj KAROLYI, Andrea POKORNÁ, Martin VÍTA and Vincent KRÍŽ. Automatic Keyword Extraction from Medical and Healthcare Curriculum. In Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki. \textit{Annals of Computer Science and Information Systems, Volume 8 : Proceedings of the 2016 Federated Conference on Computer Science and Information Systems}. Warzaw; Los Alamitos: Polskie Towarzystwo Informatyczne; Institute of Electrical and Electronics Engineers, 2016, p.~287-290. ISBN~978-83-60810-90-3. Available from: https://dx.doi.org/10.15439/2016F156.
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