Prediction of heart disease using neural network
作者： Tulay Karayilan , Ozkan Kilic
DOI: 10.1109/UBMK.2017.8093512
关键词:
摘要: Heart disease is a deadly that large population of people around the world suffers from. When considering death rates and number who from heart disease, it revealed how important early diagnosis disease. Traditional way not sufficient for such an illness. Developing medical system based on machine learning prediction provides more accurate than traditional way. In this paper, which uses artificial neural network backpropagation algorithm proposed. 13 clinical features were used as input then was trained with to predict absence or presence accuracy 95%.
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