Conference
ECG Knowledge Discovery Based on Ontologies and Rules Learning for the Support of Personalized Medical Decision Making
Abstract
The electrocardiogram (ECG) is the most common non-invasive used method for monitoring the heart condition. Combined with other available patient medical data, the manual analysis and evaluation of ECG data become labour intensive and prone to errors. With the increased amount of available digital medical data, there is a need for proper methods to support medical practitioners in the decision-making process. These practitioners base their …
Authors
Zouri M; Zouri N; Ferworn A
Volume
00
Pagination
pp. 0701-0706
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
November 7, 2020
DOI
10.1109/iemcon51383.2020.9284951
Name of conference
2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)