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

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.

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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: SVM; knee osteoarthritis; artificial intelligence
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 1106 Human Movement and Sports Science
Faculty/School/Research Centre/Department > College of Sports and Exercise Science
Depositing User: Symplectic Elements
Date Deposited: 25 Aug 2016 23:36
Last Modified: 01 Aug 2019 06:41
URI: http://vuir.vu.edu.au/id/eprint/31030
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Citations in Scopus: 14 - View on Scopus

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