Similarity detection between virtual patients and medical curriculum using R

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F18%3A00104412" target="_blank" >RIV/00216224:14110/18:00104412 - isvavai.cz</a>
Result on the web
<a href="http://ebooks.iospress.nl/volumearticle/50507" target="_blank" >http://ebooks.iospress.nl/volumearticle/50507</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-921-8-222" target="_blank" >10.3233/978-1-61499-921-8-222</a>

Result language
angličtina
Original language name
Similarity detection between virtual patients and medical curriculum using R
Original language description
This paper presents the domain of information sciences, applied informatics and biomedical engineering, proposing to develop methods for an automated detection of similarities between two particular virtual learning environments - virtual patients at Akutne.cz and the OPTIMED curriculum management system - in order to provide support to clinically oriented stages of medical and healthcare studies. For this purpose, the authors used large amounts of text-based data collected by the system for mapping medical curricula and through the system for virtual patient authoring and delivery. The proposed text-mining algorithm for an automated detection of links between content entities of these systems has been successfully implemented by the means of a web-based toolbox.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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