Aging and some lifestyle habits cause plaque accumulation in the blood vessels of the heart and this causes narrowing of the arteries. Stents are tiny wire mesh tubes which are used in balloon angioplasty to keep the vessels open. However, the stented vessel has a risk of re-narrowing due to the recovery response of the stented vessel segment and this is called in-stent-restenosis. The objective of this study is classifying patients according to their risks of restenosis. For this purpose, first a utilites additives discriminates model called parametrized classification model is developed, then to improve the classification performance of this model, a non-dominated sorting based multi-objective evolutionary algorithm (NSGA-II) is implemented. Finally, computational experiments are conducted with real life data to demonstrate the efficiency of proposed methods.

中文翻译：

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考虑冠状动脉支架置入后再狭窄风险的患者分类

衰老和某些生活习惯会导致斑块在心脏血管中积聚，从而导致动脉变窄。支架是细小的金属丝网管，用于球囊血管成形术以保持血管开放。然而，由于带支架的血管段的恢复响应，带支架的血管有再次变窄的风险，这被称为支架内再狭窄。这项研究的目的是根据患者再狭窄的风险对其进行分类。为此，首先开发了一种利用添加剂的区分模型，称为参数化分类模型，然后为了提​​高该模型的分类性能，实现了一种基于非控制分类的多目标进化算法（NSGA-II）。最后，