Comparison of artificial neural network, logistic regression and discriminant analysis methods in prediction of metabolic syndrome

Iranian Journal of Endocrinology and Metabolism

Volumn 11, Issue 6, 2010, Pages

  Sedehi, M ^a   Mehrabi, Y ^b   Kazemnejad, A ^a   Hadaegh, F ^c  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Artificial neural network; Discriminant analysis; Logistic regression; Metabolic syndrome

Indexed keywords

GLUCOSE; HIGH DENSITY LIPOPROTEIN; LIPID; LOW DENSITY LIPOPROTEIN; TRIACYLGLYCEROL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY MASS; CHOLESTEROL BLOOD LEVEL; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DIASTOLIC BLOOD PRESSURE; DIET RESTRICTION; DISCRIMINANT ANALYSIS; FOLLOW UP; GLUCOSE BLOOD LEVEL; HUMAN; INCIDENCE; LOGISTIC REGRESSION ANALYSIS; METABOLIC SYNDROME X; RECEIVER OPERATING CHARACTERISTIC; SMOKING; SYSTOLIC BLOOD PRESSURE; WAIST CIRCUMFERENCE;

EID: 77951578153     PISSN: 16834844     EISSN: 16835476     Source Type: Journal    
DOI: None     Document Type: Article

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