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Institute of Formal and Applied Linguistics

at Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic


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Publication


Year 2016
Type in proceedings
Status published
Language English
Author(s) Komenda, Martin Karolyi, Matěj Pokorná, Andrea Víta, Martin Kríž, Vincent
Title Automatic Keyword Extraction from Medical and Healthcare Curriculum
Czech title Automatická extrakce klíčových slov z medicínských záznamů
Proceedings 2016: New York City, NY, USA: FedCSIS: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems
Pages range 287-290
How published print
Supported by 2016 SVV 260 333 (Teoretické základy informatiky a výpočetní lingvistiky)
Czech abstract 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.
English abstract 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.
Specialization linguistics ("jazykověda")
Confidentiality default – not confidential
Open access no
DOI 10.15439/2016F156
Editor(s)* Maria Ganzha; Leszek Bednarczuk; Marcin Paprzycki
ISBN* 978-83-60810-90-3
ISSN* 2300-5963
Address* New York City, NY, USA
Month* September
Publisher* Institute of Electrical and Electronics Engineers
Institution* Polskie Towarzystwo Informatyczne
Organization* Institute of Electrical and Electronics Engineers
Creator: Common Account
Created: 10/7/16 10:43 AM
Modifier: Almighty Admin
Modified: 2/25/17 10:07 PM
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Content, Design & Functionality: ÚFAL, 2006–2016. Page generated: Fri Sep 22 01:13:18 CEST 2017

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