Minimal ensemble based on subset selection using ECG to diagnose categories of CAN

Abawajy, Jemal, Kelarev, Andrei, Yi, Xun and Jelinek, Herbert F. 2018, Minimal ensemble based on subset selection using ECG to diagnose categories of CAN, Compututer methods and programs in biomedicine, vol. 160, pp. 85-94, doi: 10.1016/j.cmpb.2018.01.019.

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Title Minimal ensemble based on subset selection using ECG to diagnose categories of CAN
Author(s) Abawajy, JemalORCID iD for Abawajy, Jemal orcid.org/0000-0001-8962-1222
Kelarev, Andrei
Yi, Xun
Jelinek, Herbert F.
Journal name Compututer methods and programs in biomedicine
Volume number 160
Start page 85
End page 94
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-07
ISSN 1872-7565
Keyword(s) Automated diagnosis
Cardiac autonomic neuropathy
Cross validation
Diabetes complications
Ensemble classifiers
Multi-tier system
Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Interdisciplinary Applications
Computer Science, Theory & Methods
Engineering, Biomedical
Medical Informatics
Computer Science
Engineering
PAROXYSMAL ATRIAL-FIBRILLATION
HEART-RATE-VARIABILITY
VENTRICULAR-FIBRILLATION
CLASSIFICATION
RECOGNITION
ALGORITHM
FEATURES
SIGNALS
IMAGES
Language eng
DOI 10.1016/j.cmpb.2018.01.019
Field of Research 0903 Biomedical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109491

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