Decision support systems that help physicians are becoming very important part of medical decision making. They are based on different models and the best of them are providing an explanation together with an accurate, reliable and quick response. One of the most viable among models are decision trees, already successfully used for many medical decision making pruposes. Although effective and reliable, the traditional decision tree construction approach still contains several deficiencies. Therefore we decided to develop a selfadapting evolutionary decision support model, that uses evolutionary principles for the induction of decision trees.
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