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Volumn , Issue , 2011, Pages

A fuzzy expert systems design for diagnosis of Parkinson's disease

Author keywords

Fuzzy Expert Systems; Fuzzy Logic; Parkinson's disease

Indexed keywords

ALZHEIMER; FUZZY EXPERT SYSTEMS; HIGH INCIDENCE; INPUT PARAMETER; PARKINSON'S DISEASE; QUANTITATIVE EVALUATION; SPECTRAL CHARACTERS;

EID: 84857843040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (18)
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    • (2011)
  • 3
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  • 6
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    • (2011) Digital Signal Process
    • Lingmei, A.1    Wang, J.2    Ruoxia, Y.3
  • 12
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    • Designing a Fuzzy Expert System of Diagnosing the Hepatitis B Intensity Rate and Comparing it with Adaptive Neural Network Fuzzy System
    • WCECS 2009, October, San Francisco, USA, ISBN:978-988-18210-2-7
    • Mehdi Neshat, Mehdi Yaglobi, Designing a Fuzzy Expert System of Diagnosing the Hepatitis B Intensity Rate and Comparing it with Adaptive Neural Network Fuzzy System, Proceedings of the World Congress on Engineering and Computer Science 2009, Vol II, WCECS 2009, October, San Francisco, USA, ISBN:978-988-18210-2-7 (2009)
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    • H.N. Teodorescu, A. Kandel, LO. Hall, Report of research activities in fuzzy AI and medicine at USFCSE, Source: ARTIFICIAL INTELLIGENCE IN MEDICINE Volume: 21 Issue: 1-3 Pages: 177-183 DOI: 10.1016/S0933-3657(00)00083-X (2001) (Pubitemid 32012662)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.