Comparison of artificial neural network and binary logistic regression for determination of impaired glucose tolerance/diabetes;Comparaison d'un réseau de neurones artificiels et de la régression logistique binaire dans la détermination de l'altération de la tolérance au glucose et du diabète

Eastern Mediterranean Health Journal

Volumn 16, Issue 6, 2010, Pages 615-620

  Kazemnejad, A ^a   Batvandi, Z ^a   Faradmal, J ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ANTHROPOMETRIC PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BINARY LOGISTIC REGRESSION ANALYSIS; CONTROLLED STUDY; DEMOGRAPHY; DIABETES MELLITUS; FEMALE; HUMAN; IMPAIRED GLUCOSE TOLERANCE; INTERMETHOD COMPARISON; KAPPA STATISTICS; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; RECEIVER OPERATING CHARACTERISTIC; ANALYSIS OF VARIANCE; BLOOD; CASE CONTROL STUDY; COMPARATIVE STUDY; DIET RESTRICTION; DIFFERENTIAL DIAGNOSIS; GLUCOSE BLOOD LEVEL; GLUCOSE INTOLERANCE; HEALTH; IRAN; METABOLISM; MIDDLE AGED; PREDICTIVE VALUE; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY; VERY ELDERLY;

GLUCOSE BLOOD LEVEL;

ADULT; AGED; AGED, 80 AND OVER; ANALYSIS OF VARIANCE; BLOOD GLUCOSE; CASE-CONTROL STUDIES; DIABETES MELLITUS; DIAGNOSIS, DIFFERENTIAL; FASTING; FEMALE; GLUCOSE INTOLERANCE; HUMANS; IRAN; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; ROC CURVE; URBAN HEALTH;

EID: 77953769694     PISSN: 10203397     EISSN: None     Source Type: Journal    
DOI: 10.26719/2010.16.6.615     Document Type: Article

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