Prediction of heart disease using multilayer perceptron neural network
作者： Jayshril S. Sonawane , D. R. Patil
DOI: 10.1109/ICICES.2014.7033860
关键词:
摘要: In medical field the diagnosis of heart disease is most difficult task. It depends on careful analysis different clinical and pathological data patient by experts, which complicated process. Due to advancement in machine learning information technology, researchers practitioners large extent are interested development automated system for prediction that highly accurate, effective helpful early diagnosis. this paper we present a using multilayer perceptron neural network. The network accepts 13 features as input it trained back-propagation algorithm predict there presence or absence with highest accuracy 98% comparative other systems. thus obtained shows better efficient than
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