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Label Self-Advised Support Vector Machine (LSA-SVM)-Automated Classification of Foot Drop Rehabilitation Case Study.
Adil Abboud, Sahar; Al-Wais, Saba; Abdullah, Salma Hameedi; Alnajjar, Fady; Al-Jumaily, Adel.
Affiliation
  • Adil Abboud S; Computer Engineering Department, University of Technology, Baghdad, Iraq. 120028@uotechnology.edu.iq.
  • Al-Wais S; Faculty of Engineering and Information Technology, University of Technology, Broadway, Sydney NSW 2007, Australia. 120028@uotechnology.edu.iq.
  • Abdullah SH; Bio-Medical Engineering Department, University of Technology, Baghdad, Iraq. 60004@uotechnology.edu.iq.
  • Alnajjar F; Faculty of Engineering and Information Technology, University of Technology, Broadway, Sydney NSW 2007, Australia. 120015@uotechnology.edu.iq.
  • Al-Jumaily A; Department of Computer Science and Software Engineering, College of Information Technology, UAE University, Al Ain 15551, UAE. fady.alnajjar@uaeu.ac.ae.
Biosensors (Basel) ; 9(4)2019 Sep 27.
Article in En | MEDLINE | ID: mdl-31569694
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peroneal Neuropathies / Support Vector Machine Type of study: Diagnostic_studies / Prognostic_studies Aspects: Ethics Limits: Humans Language: En Journal: Biosensors (Basel) Year: 2019 Document type: Article Affiliation country: Iraq Country of publication: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peroneal Neuropathies / Support Vector Machine Type of study: Diagnostic_studies / Prognostic_studies Aspects: Ethics Limits: Humans Language: En Journal: Biosensors (Basel) Year: 2019 Document type: Article Affiliation country: Iraq Country of publication: Switzerland