Support Vector Machines for detecting recovery from knee replacement surgery using quantitative gait measures

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Levinger, Pazit ORCID: 0000-0001-6660-9183, Lai, Daniel ORCID: 0000-0003-3459-7709, Webster, K, Begg, Rezaul ORCID: 0000-0002-3195-8591 and Feller, J (2007) Support Vector Machines for detecting recovery from knee replacement surgery using quantitative gait measures. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), 23 August 2016-26 August 2016, Lyon, France.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/31030
Official URL http://ieeexplore.ieee.org/document/4353432/
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > FOR Classification > 1106 Human Movement and Sports Science
Current > Division/Research > College of Sports and Exercise Science
Keywords SVM; knee osteoarthritis; artificial intelligence
Citations in Scopus 16 - View on Scopus
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