- Title
- A comparison of machine learning algorithms for multilabel classification of CAN
- Creator
- Kelarev, Andrei; Stranieri, Andrew; Yearwood, John; Jelinek, Herbert
- Date
- 2012
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/45832
- Identifier
- vital:4897
- Identifier
- ISSN:0973-6999
- Abstract
- This article is devoted to the investigation and comparison of several important machine learning algorithms in their ability to obtain multilabel classifications of the stages of cardiac autonomic neuropathy (CAN). Data was collected by the Diabetes Complications Screening Research Initiative at Charles Sturt University. Our experiments have achieved better results than those published previously in the literature for similar CAN identification tasks.
- Relation
- Advances in Computer Science and Engineering Vol. 9, no. 1 (2012), p. 1-4
- Rights
- Copyright 2012 Pushpa Publishing House
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Machine learning; Multilabel classification; Cardiac autonomic neuropathy
- Full Text
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