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Automatic Keyword Extraction from Medical and Healthcare Curriculum

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335481" target="_blank" >RIV/00216208:11320/16:10335481 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/16:00090196

  • Result on the web

    <a href="http://dx.doi.org/10.15439/2016F156" target="_blank" >http://dx.doi.org/10.15439/2016F156</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15439/2016F156" target="_blank" >10.15439/2016F156</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Keyword Extraction from Medical and Healthcare Curriculum

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

  • ISBN

    978-83-60810-90-3

  • ISSN

    2300-5963

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    287-290

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    New York City, NY, USA

  • Event location

    Gdańsk, Poland

  • Event date

    Sep 11, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article