Data Mining Techniques in a Virtual Workshop for the Digitalization of Education
Abstract
A software module has been developed that forms the basis of a virtual laboratory workshop and consists of two computer applications that use the methods of intelligent analysis of biomedical data for an example of the possibility of predicting a disease based on the proposed symptoms of a patient and determining the likelihood of cardiovascular disease. The developed virtual laboratory practice can be used in teaching the block of biomedical disciplines and includes a list of laboratory works that help to acquire practical skills in bioanalytical work and programming skills in Python.
About the Authors
E. V. Timoschenko
"Mogilev State A. Kuleshov University"
Belarus
Belarus
PhD in Physico-mathematical sciences, Associate Professor, Professor of the Department of Information Technology Software
1, Kosmonavtov str., 212022, Mogilev
A. F. Razhkov
The State Scientific Institution «The United Institute of Informatics Problems of the National Academy of Sciences of Belarus»
Belarus
Belarus
Master of Pedagogic sciences, postgraduate student
6, Surganova str., 220012, Minsk
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Review
For citations:
Timoschenko E.V., Razhkov A.F. Data Mining Techniques in a Virtual Workshop for the Digitalization of Education. Digital Transformation. 2021;(4):52-62. (In Russ.)
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