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Volumn 5, Issue 9, 2015, Pages

Identification of reciprocal causality between non-alcoholic fatty liver disease and metabolic syndrome by a simplified Bayesian network in a Chinese population

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ATTRIBUTABLE RISK; BAYESIAN NETWORK; CHINESE; COHORT ANALYSIS; DIABETES MELLITUS; DYSLIPIDEMIA; FEMALE; FOLLOW UP; HAN CHINESE; HUMAN; INCIDENCE; LONGITUDINAL STUDY; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MEDICAL EXAMINATION; METABOLIC SYNDROME X; NONALCOHOLIC FATTY LIVER; URBAN POPULATION; BAYES THEOREM; BODY MASS; CHINA; COMPLICATION; DIAGNOSTIC IMAGING; DISEASE COURSE; ECHOGRAPHY; FORECASTING; GLUCOSE BLOOD LEVEL; METABOLISM; MIDDLE AGED; NON-ALCOHOLIC FATTY LIVER DISEASE; PREVALENCE; PROGNOSIS; RETROSPECTIVE STUDY; RISK FACTOR;

EID: 84949457218     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2015-008204     Document Type: Article
Times cited : (74)

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