Identification of patellofemoral pain syndrome using a Support Vector Machine approach

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Lai, Daniel ORCID: 0000-0003-3459-7709, Levinger, Pazit ORCID: 0000-0001-6660-9183, Begg, Rezaul ORCID: 0000-0002-3195-8591, Gilleard, W and Palaniswami, M (2007) Identification of patellofemoral pain syndrome using a Support Vector Machine approach. 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)
URI https://vuir.vu.edu.au/id/eprint/31029
DOI https://doi.org/10.1109/IEMBS.2007.4352996
Official URL http://ieeexplore.ieee.org/document/4352996/
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 1106 Human Movement and Sports Science
Current > Division/Research > College of Sports and Exercise Science
Keywords knee pain; PFPS; diagnosis; SVM; artificial intelligence; foot kinematics; gait
Citations in Scopus 9 - View on Scopus
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