An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy

Strainieri, Andrew, Abawajy, Jemal, Kelarev, Andrei, Huda, Shamsul, Chowdhury, Morshed and Jelinek, Herbert F. 2013, An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy, Artificial intelligence in medicine, vol. 58, pp. 185-193.

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Title An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy
Author(s) Strainieri, Andrew
Abawajy, Jemal
Kelarev, Andrei
Huda, Shamsul
Chowdhury, Morshed
Jelinek, Herbert F.
Journal name Artificial intelligence in medicine
Volume number 58
Start page 185
End page 193
Total pages 9
Publisher Elsevier BV
Place of publication Amsterdam, The Netherlands
Publication date 2013-04-25
ISSN 0933-3657
1873-2860
Keyword(s) accuracy of classification
cardiac autonomic neuropathy
decision trees
diabetes patients
Ewing features
optimal sequence of tests
Language eng
Field of Research 080105 Expert Systems
080110 Simulation and Modelling
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30054507

Document type: Journal Article
Collection: School of Information Technology
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