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Kafkas Üniversitesi Veteriner Fakültesi Dergisi
2019 , Vol 25 , Issue 6
Classification of Biochemical and Biomechanical Data of Diabetic Rats Treated with Magnetic Field By PCA-Supported J48 Algorithm
1Çukurova University, Medical Faculty, Biophysics Department, TR-01330 Adana - TURKEY2Çukurova University, Engineering Faculty, Electric and Electronics Department, TR-01330 Adana - TURKEY
3Çukurova University, Fisheries Faculty, TR-01330 Adana - TURKEY DOI : 10.9775/kvfd.2018.21381 The aim of this study was to investigate the J48 mediated decision tree algorithm from the principal component analysis - PCA, which is more complex, one of the statistical algorithms of diabetic metabolic disorders of Wistar albino rats" biochemical values and magnetic field application. Wistar Albino rats were examined under 4 different groups including the control group. When the results were examined, it was observed that PCA increased the success rate of classification from 96.25% to 97.50% when used with J48 decision tree algorithm. Thus, the PCA-supported J48 algorithm demonstrated that Wistar albino rats could be successfully used on the data obtained from more complex diabetic metabolic values. Keywords : Diabetes mellitus, Magnetic field, J48, PCA