Comparison of multiple prediction models for hypertension (Neural network, logistic regression and flexible discriminant analyses)
Küçük Resim Yok
Tarih
2005
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Objective: In this study, we compared performances of logistic regression analysis (LR), flexible discriminant analysis (EAA) and neural networks (SA) in prediction of primary hypertension. Methods: Predictor variables were family history, lipoprotein A, triglyceride, smoking and body mass index. The data were collected from Cardiology Clinic of Trakya University Medical Faculty in Turkey, 2001. Logistic regression analysis, flexible discriminant analysis and neural networks were used for prediction of control and hypertension groups. Comparison of the performance of all models was done using receiver operating characteristic (ROC) curve analysis. Results: All models had areas under the ROC curve in the range of 0.793-0.984 and SA had sensitivity, specificity, and accuracy greater than 90% at ideal threshold. ROC curve areas of SA and LR, and SA and EAA were statistically different (p<0.001 and p<0.001 respectively), while ROC curve areas of EAA and LR did not differ (p>0.05). Conclusion: We concluded that family history, lipoprotein A, triglyceride, smoking and body mass index variables can be used for prediction of control and hypertension groups with statistically better performance of SA over LR and EAA.
Açıklama
Anahtar Kelimeler
Flexible Discriminant Analysis; Logistic Regression Analysis; Neural Networks; Roc Curve, Lipoprotein A; Triacylglycerol; Accuracy; Adult; Article; Artificial Neural Network; Body Mass; Cigarette Smoking; Controlled Study; Discriminant Analysis; Experimental Model; Family History; Human; Hypertension; Information Processing; Intermethod Comparison; Logistic Regression Analysis; Major Clinical Study; Prediction; Receiver Operating Characteristic; Sensitivity And Specificity; Turkey (Republic); Body Mass Index; Case-Control Studies; Discriminant Analysis; Female; Genetic Predisposition To Disease; Humans; Hypertension; Lipoprotein(A); Logistic Models; Male; Middle Aged; Models, Statistical; Neural Networks (Computer); Predictive Value Of Tests; Roc Curve; Sensitivity And Specificity; Smoking; Triglycerides
Kaynak
Anadolu Kardiyoloji Dergisi
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
5
Sayı
1
