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Volumn 53, Issue 2, 2010, Pages 181-188

Neural network algorithm for the early detection of Parkinson's disease from blood plasma by FTIR micro-spectroscopy

Author keywords

Blood plasma; FTIR; Neural network; Parkinson's disease; Spectral diagnosis

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATIC DETECTION; BIOCHEMICAL PARAMETERS; BLOOD PLASMA; CLINICAL DIAGNOSIS; DIAGNOSTIC PROBLEM; DIAGNOSTIC TECHNIQUES; DISEASE PROGRESSION; EARLY DETECTION; FTIR; FTIR MICROSPECTROSCOPY; HUMAN PLASMA SAMPLES; INFRARED MICRO-SPECTROSCOPY; NEURAL NETWORK ALGORITHM; PARKINSON'S DISEASE; RAPID DETECTION; SPECTRAL DIAGNOSIS; SPECTRAL METHODS; SPECTRAL PARAMETERS; SPECTRAL REGION;

EID: 77955712057     PISSN: 09242031     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.vibspec.2010.01.019     Document Type: Article
Times cited : (37)

References (38)
  • 3
    • 40549105432 scopus 로고    scopus 로고
    • Pathophysiology and assessment of parkinsonian symptoms and signs
    • J. Jankovic Pathophysiology and assessment of parkinsonian symptoms and signs R. Pahwa, K. Lyons, W.C. Koller, Handbook of Parkinson's Disease Edition 2007 Taylor and Francis Group, LLC New York 79 104
    • (2007) Handbook of Parkinson's Disease Edition , pp. 79-104
    • Jankovic, J.1
  • 4
    • 77955715065 scopus 로고    scopus 로고
    • The Movement Disorder Virtual University
    • The Movement Disorder Virtual University: www.mdvu.org/library/ ratingscales/pd/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.