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ECG Knowledge Discovery Based on Ontologies and...
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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)