Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population

Alimentary Pharmacology and Therapeutics

Volumn 46, Issue 4, 2017, Pages 447-456

  Yip, T C F ^a   Ma, A J ^b   Wong, V W S ^a   Tse, Y K ^a   Chan, H L Y ^a   Yuen, P C ^b   Wong, G L H ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE AMINOTRANSFERASE; HEMOGLOBIN A1C; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL; HIGH DENSITY LIPOPROTEIN;

ADULT; ARTICLE; COHORT ANALYSIS; CROSS-SECTIONAL STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HUMAN; HYPERTENSION; LEARNING ALGORITHM; LEUKOCYTE COUNT; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; NONALCOHOLIC FATTY LIVER; PREDICTIVE VALUE; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE; SENSITIVITY AND SPECIFICITY; ANTHROPOMETRY; BLOOD; CONTROLLED STUDY; MIDDLE AGED; RANDOMIZED CONTROLLED TRIAL; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL; VALIDATION STUDY;

ADULT; ALANINE TRANSAMINASE; ANTHROPOMETRY; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; LIPOPROTEINS, HDL; LOGISTIC MODELS; MACHINE LEARNING; MALE; MIDDLE AGED; NON-ALCOHOLIC FATTY LIVER DISEASE; ROC CURVE; SENSITIVITY AND SPECIFICITY; TRIGLYCERIDES;

EID: 85020190573     PISSN: 02692813     EISSN: 13652036     Source Type: Journal    
DOI: 10.1111/apt.14172     Document Type: Article

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