  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.
Furthermore we have also used meta-classifiers to question the increased
correlation rate between the liver disorder and the liver analysis outputs. 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 94%. This makes possible to predict the analysis results from each other
or disease patterns can be applied over the linear correlation of the
parameters.
