Similarity Detection Between Virtual Patients and Medical Curriculum Using R.

Similarity Detection Between Virtual Patients and Medical Curriculum Using R. Stud Health Technol Inform. 2018;255:222-226 Authors: Komenda M, Ščavnický J, Růžičková P, Karolyi M, Štourač P, Schwarz D Abstract 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. PMID: 30306941 [PubMed - in process]
Source: Studies in Health Technology and Informatics - Category: Information Technology Tags: Stud Health Technol Inform Source Type: research