Prediction of Survival after Myocardial Infarction Using Killip Class

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Prediction of Survival after Myocardial Infarction Using Killip Class

Background: Short and long term predictions of mortality and survival after a myocardial infarction (MI) are important in order to assist physicians in their decision about optimal treatment. We considered the utility of Killip class and other risk factors in the prediction of cardiac death after a MI. Methods: One hundred and eighty two patients with myocardial infarctions were studied over a ...

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Myocardial infarction is still one of the leading causes of death and morbidity. The early prediction of such disease can prevent or reduce the development of it. Machine learning can be an efficient tool for predicting such diseases. Many people have suffered myocardial infarction in the past. Some of those have survived and others were dead after a period of time. A machine learning system ca...

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ژورنال

عنوان ژورنال: International Journal of Clinical Medicine

سال: 2012

ISSN: 2158-284X,2158-2882

DOI: 10.4236/ijcm.2012.37102