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Volumn 84, Issue 19, 2012, Pages 8149-8156

Investigation of noise-induced instabilities in quantitative biological spectroscopy and its implications for noninvasive glucose monitoring

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY LEVEL; ADDITIVE INTERFERENCE; ANALYTES; ANALYTICAL FORMULAS; ANIMAL MODEL; BIOMEDICAL APPLICATIONS; CHEMICAL SPECIFICITY; CHEMOMETRIC MODELS; CLINICAL SETTINGS; DATA SETS; ENVIRONMENTAL CONDITIONS; FIELD DATA; LEAST SQUARE; MEASUREMENT NOISE; MODEL PARAMETERS; MODELING PRECISION; NOISE-INDUCED INSTABILITY; NON-LINEAR REGRESSION; NONINVASIVE GLUCOSE MONITORING; OPTICAL SPECTROSCOPY; PARTIAL LEAST-SQUARES REGRESSION; PATHOLOGICAL CONDITIONS; PREDICTION ERRORS; PROOF OF CONCEPT; REGRESSION METHOD; SAMPLE PREPARATION; SPECTROSCOPIC MEASUREMENTS; SPECTROSCOPIC MODELS; SUPPORT VECTOR; SYSTEMATIC INVESTIGATIONS; UNCERTAINTY ESTIMATION;

EID: 84867052197     PISSN: 00032700     EISSN: 15206882     Source Type: Journal    
DOI: 10.1021/ac301200n     Document Type: Article
Times cited : (44)

References (44)
  • 8
  • 28
    • 1542559402 scopus 로고    scopus 로고
    • Support vector machine applications in computational biology
    • Schoelkopf, B. Tsuda, K. Vert, J. P. MIT Press: Cambridge, MA
    • Noble, W. S. Support vector machine applications in computational biology. In Kernel Methods in Computational Biology; Schoelkopf, B.; Tsuda, K.; Vert, J. P., Eds.; MIT Press: Cambridge, MA, 2004; pp 71-92.
    • (2004) Kernel Methods in Computational Biology , pp. 71-92
    • Noble, W.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.