Towards a Keyword Extraction in Medical and Healthcare Education

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F17%3A00098096" target="_blank" >RIV/00216224:14110/17:00098096 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.15439/2017F351" target="_blank" >http://dx.doi.org/10.15439/2017F351</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2017F351" target="_blank" >10.15439/2017F351</a>

Result language
angličtina
Original language name
Towards a Keyword Extraction in Medical and Healthcare Education
Original language 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.
Czech name
—
Czech description
—

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Federated Conference on Computer Science and Information Systems (FedCSIS)
ISBN
9788394625375
ISSN
2325-0348
e-ISSN
—
Number of pages
4
Pages from-to
173-176
Publisher name
IEEE
Place of publication
New York
Event location
Prague
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000417412800027

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