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Determining risk factors for survival after LMCA stenosis with intelligent data analysis

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3 Author(s)
Povalej, P. ; Fac. of Electr. Eng. & Comput. Sci., Univ. of Maribor, Maribor ; Kanic, V. ; Kokol, P.

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.

Published in:

Computers in Cardiology, 2007

Date of Conference:

Sept. 30 2007-Oct. 3 2007

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