A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain

Journal of Biomedical Informatics

Volumn 46, Issue 5, 2013, Pages 921-928

  Lötsch, Jörn ^a,b   Ultsch, Alfred ^c  

^a UNIVERSITY HOSPITAL FRANKFURT   (Germany)

^b FRAUNHOFER INSTITUTE FOR MOLECULAR BIOLOGY AND APPLIED ECOLOGY IME   (Germany)

^c PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

Genetics; Knowledge generation; Machine learning

Indexed keywords

CLASSIFICATION AND REGRESSION TREE; GENETICS; GENOTYPE-PHENOTYPE ASSOCIATIONS; HEALTHY VOLUNTEERS; KNOWLEDGE DISCOVERY METHOD; KNOWLEDGE-GENERATION; MACHINE-LEARNING; SUPERVISED MACHINE LEARNING;

CONFORMAL MAPPING; DATA VISUALIZATION; SUPERVISED LEARNING;

HEALTH;

ARTICLE; GENOTYPE; NOCICEPTION; PAIN; PHENOTYPE; PRIORITY JOURNAL; PROBABILITY;

GENETICS; KNOWLEDGE-GENERATION; MACHINE-LEARNING;

ARTIFICIAL INTELLIGENCE; GENOTYPE; HUMANS; PAIN MANAGEMENT; PHENOTYPE;

EID: 84883752835     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.07.010     Document Type: Article

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