Data Mining in Medicine Domain Using Decision Trees and Vector Support Machine

In this paper, we used data mining to extract
biomedical knowledge. In general, complex biomedical data
collected in studies of populations are treated by statistical methods,
although they are robust, they are not sufficient in themselves to
harness the potential wealth of data. For that you used in step two
learning algorithms: the Decision Trees and Support Vector Machine
(SVM). These supervised classification methods are used to make the
diagnosis of thyroid disease. In this context, we propose to promote
the study and use of symbolic data mining techniques.

• Djamila Benhaddouche
• Abdelkader Benyettou

• A classifier
• Algorithms decision tree
• knowledge extraction
• Support Vector Machine.

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