Modelling of classification rules on metabolic patterns including machine learning and expert knowledge

Journal of Biomedical Informatics

Volumn 38, Issue 2, 2005, Pages 89-98

  Baumgartner, Christian ^a   Böhm, Christian ^b   Baumgartner, Daniela ^c  

^a UNIVERSITY FOR HEALTH SCIENCES   (Austria)

^b UNIVERSITY OF MUNICH   (Germany)

^c INNSBRUCK MEDICAL UNIVERSITY   (Austria)

Author keywords

Classification rules; Expert knowledge; Machine learning; Metabolic disorders; Metabolic patterns

Indexed keywords

BIOCHEMISTRY; COMPUTER SIMULATION; DISEASE CONTROL; ERROR ANALYSIS; EXPERT SYSTEMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MATHEMATICAL MODELS; METABOLISM; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS;

DISEASE SCREENING; LOGISTIC REGRESSION ANALYSIS (LRA); METABOLIC DISORDERS; METABOLIC PATTERNS;

CLASSIFICATION (OF INFORMATION);

ANALYTICAL ERROR; ARTICLE; DECISION MAKING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; DISEASE CLASSIFICATION; ENZYME DEFICIENCY; EXPERT SYSTEM; LOGISTIC REGRESSION ANALYSIS; MACHINE; MEDIUM CHAIN ACYL COENZYME A DEHYDROGENASE DEFICIENCY; METABOLIC DISORDER; METHYLCROTONOYL COENZYME A CARBOXYLASE DEFICIENCY; MODEL; NEWBORN SCREENING; PHENYLKETONURIA; PRIORITY JOURNAL; SCREENING TEST; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MARKERS; CLUSTER ANALYSIS; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; EXPERT SYSTEMS; GENE EXPRESSION PROFILING; HUMANS; INFANT, NEWBORN; MASS SCREENING; MASS SPECTROMETRY; METABOLIC DISEASES; MODELS, BIOLOGICAL; NEONATAL SCREENING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 15944363863     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2004.08.009     Document Type: Article

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