An extension to the discriminant analysis of near-infrared spectra

Medical Engineering and Physics

Volumn 35, Issue 2, 2013, Pages 172-177

  So, C F ^a   Choi, Kup Sze ^a   Chung, Joanne W Y ^b,c   Wong, Thomas K S ^c  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b THE EDUCATION UNIVERSITY OF HONG KONG   (Hong Kong)

^c China   (Hong Kong)

Author keywords

Monte Carlo method; Near infrared; Partial least squares; Spectroscopic data

Indexed keywords

ACCURATE PREDICTION; BLOOD GLUCOSE; BLOOD GLUCOSE MEASUREMENTS; CLASSIFICATION METHODS; CLASSIFICATION RATES; INDEPENDENT VARIABLES; MEAN SENSITIVITY; MULTIVARIATE CALIBRATION METHODS; NEAR INFRARED; NEAR INFRARED SPECTRA; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES-DISCRIMINANT ANALYSIS; PREDICTION MODEL; QUANTITATIVE MODELS; SPECTRAL DATA; SPECTROSCOPIC DATA; TRAINING DATASET; TRAINING SETS;

BLOOD; DISCRIMINANT ANALYSIS; GLUCOSE; MONTE CARLO METHODS;

INFRARED DEVICES;

ACCURACY; ADULT; ALGORITHM; ARTICLE; BLOOD GLUCOSE MONITORING; BLOOD SAMPLING; CALIBRATION; COMPUTER PREDICTION; CONTROLLED STUDY; DATA ANALYSIS; DATA COLLECTION METHOD; DIABETES MELLITUS; DISCRIMINANT ANALYSIS; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PERFORMANCE MEASUREMENT SYSTEM; PREDICTIVE VALUE; PRIORITY JOURNAL; PROCESS CONTROL; PROCESS DESIGN; PROCESS OPTIMIZATION; PROCESS TECHNOLOGY; RELIABILITY; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SPECTROMETER; SYSTEM ANALYSIS;

DISCRIMINANT ANALYSIS; LEAST-SQUARES ANALYSIS; MONTE CARLO METHOD; SPECTROPHOTOMETRY, INFRARED;

EID: 84872299526     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2012.04.012     Document Type: Article

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