| Autor: |
Martin, Komenda, Jakub, Ščavnický, Petra, Růžičková, Matěj, Karolyi, Petr, Štourač, Daniel, Schwarz |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Studies in health technology and informatics. 255 |
| ISSN: |
1879-8365 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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