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Similarity Detection Between Virtual Patients and Medical Curriculum Using R

M. Komenda, J. Ščavnický, P. Růžičková, M. Karolyi, P. Štourač, D. Schwarz,

. 2018 ; 255 (-) : 222-226. [pub] -

Jazyk angličtina Země Nizozemsko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc19034970

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.

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