A Comparison of Machine Learning Algorithms for Multilabel Classification of CAN

Herbert Jelinek, A.V. Kelarev, A. Stranieri, J.L. Yearwood

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalAdvances in Computer Science and Engineering
Volume9
Issue number1
Publication statusPublished - 2012

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