A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data

BMC Bioinformatics

Volumn 8, Issue SUPPL. 2, 2007, Pages

  Vehtari, Aki ^a   Mäkinen, Ville Petteri ^a   Soininen, Pasi ^b   Ingman, Petri ^c   Mäkelä, Sanna M ^d   Savolainen, Markku J ^d   Hannuksela, Minna L ^d   Kaski, Kimmo ^a   Ala Korpela, Mika ^a  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF EASTERN FINLAND   (Finland)

^c UNIVERSITY OF TURKU   (Finland)

^d UNIVERSITY OF OULU   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN METHODOLOGY; BIOCHEMICAL CHARACTERISTICS; DISEASE RISK ASSESSMENT; HIGH-DENSITY LIPOPROTEIN CHOLESTEROLS; MARKOV CHAIN MONTE CARLO; OVERLAPPING INFORMATION; VERY LOW DENSITY LIPOPROTEINS;

BAYESIAN NETWORKS; BODY FLUIDS; DIAGNOSIS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; RISK ASSESSMENT;

LIPOPROTEINS;

HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL; VERY LOW DENSITY LIPOPROTEIN CHOLESTEROL; BIOLOGICAL MARKER; DIAGNOSTIC AGENT; LIPOPROTEIN; PROTON;

ARTICLE; BAYES THEOREM; BIOINFORMATICS; CHOLESTEROL BLOOD LEVEL; DATA ANALYSIS; HIDDEN MARKOV MODEL; HUMAN; METABONOMICS; MONTE CARLO METHOD; PROTON NUCLEAR MAGNETIC RESONANCE; QUANTITATIVE ANALYSIS; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BLOOD; BLOOD ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY DISEASE; EVALUATION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOLOGICAL MARKERS; BLOOD CHEMICAL ANALYSIS; CORONARY DISEASE; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; LIPOPROTEINS; MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION, AUTOMATED; PROTONS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34249849281     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-S2-S8     Document Type: Article

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