International Conference on Systems, Control and Informatics, İtalya, 01 Eylül 2013, cilt.1, no.1, ss.217-225
Data mining techniques on the biological analysis are spreading for most of the areas including the health care and medical information. We have applied the data mining techniques, such as KNN, SVM, MLP or decision trees over a unique dataset, which is collected from 16,380 analysis results for a year. The results show that there is a correlation among ALT, AST, Billirubin Direct and Billirubin Total down to 15% of error rate. Also the correlation coefficient is up to 93%. This makes possible to predict the analysis results from each other or disease patterns can be applied over the linear correlation of the parameters.