Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome

International Journal of Medical Informatics

Volumn 78, Issue 12, 2009, Pages

  Wojtusiak, Janusz ^a   Michalski, Ryszard S ^a,b   Simanivanh, Thipkesone ^a   Baranova, Ancha V ^a  

^a GEORGE MASON UNIVERSITY   (United States)

^b INSTITUTE OF COMPUTER SCIENCE   (Poland)

Author keywords

Adipokines; Clinical data; Knowledge representation; Machine learning; Meta analysis; Metabolic syndrome

Indexed keywords

ADIPOKINES; CLINICAL DATA; MACHINE-LEARNING; META-ANALYSIS; METABOLIC SYNDROMES;

DIAGNOSIS; DISEASE CONTROL; FLUORINE CONTAINING POLYMERS; KNOWLEDGE REPRESENTATION; LIVER; METABOLISM; ROBOT LEARNING;

EDUCATION;

ACCURACY; ARTICLE; DATA ANALYSIS; FATTY LIVER; HUMAN; LIVER DISEASE; MACHINE LEARNING; MEDICAL RESEARCH; METABOLIC SYNDROME X; NONALCOHOLIC FATTY LIVER; PRIORITY JOURNAL; SYMPTOMATOLOGY;

ARTIFICIAL INTELLIGENCE; CLINICAL TRIALS AS TOPIC; DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; META-ANALYSIS AS TOPIC; METABOLIC SYNDROME X;

EID: 71549152545     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2009.04.003     Document Type: Article

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