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Coronary artery disease is one of the most frequent causes of premature deaths in Slovenia and also in most countries in the world. A ldquogold standardrdquo for treatment of left main coronary artery (LMCA) stenosis is still a surgical therapy; however percutanueous transluminal coronary angioplasty (PTCA) is much simpler for the patients and gives comparable short-term and mid-term results to surgical therapy. PTCA of LMCA stenosis is safe and technically demanding but long-term clinical outcomes are not yet defined. In this paper we present an intelligent data analysis method for inducing a decision tree that was able to outline some anticipated and also some relatively unexpected but useful risk factors for survival after PTCA.