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A novel method of artery stenosis diagnosis using transfer function and support vector machine based on transmission line model: A numerical simulation and validation study.
Xiao, Hanguang; Avolio, Alberto; Huang, Decai.
Affiliation
  • Xiao H; Chongqing Key Laboratory of Modern Photoelectric Detection Technology and Instrument, School of Optoelectronic Information, Chongqing University of Technology, No. 69 Hongguang Road, Banan District, Chongqing 400050, PR China. Electronic address: simenxiao1211@163.com.
  • Avolio A; The Australian School of Advanced Medicine, Macquarie University, 2 Technology Place, Macquarie Park, NSW 2113, Australia.
  • Huang D; Sichuan Mianyang 404 Hospital, No. 56 Yuejing Road, Fucheng District, Mianyang, Sichuan Province 400050, PR China.
Comput Methods Programs Biomed ; 129: 71-81, 2016 Jun.
Article in En | MEDLINE | ID: mdl-27084322
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arteries / Vascular Diseases / Models, Statistical / Constriction, Pathologic / Support Vector Machine Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Methods Programs Biomed Journal subject: INFORMATICA MEDICA Year: 2016 Document type: Article Country of publication: Ireland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arteries / Vascular Diseases / Models, Statistical / Constriction, Pathologic / Support Vector Machine Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Methods Programs Biomed Journal subject: INFORMATICA MEDICA Year: 2016 Document type: Article Country of publication: Ireland