Why the study?
Heart failure diagnosis is a difficult and complicated process that plays an important role in early and effective treatment, and machine learning can support early prediction with high accuracy.
Does a multilayer perceptron neural network accurately predict heart failure?
Does a multilayer perceptron neural network accurately predict heart failure?
A multilayer perceptron neural network can predict heart failure with 88% accuracy, potentially supporting early diagnosis.
In the current health system, the diagnosis of heart failure is a difficult task and plays an important role in the early and effective treatment of patients. It is also based on the available diagnose data, from which a medical professional can make the best diagnosis for a patient. This process is very complicated, so with the development of machine learning, medical professionals will be supported to be able to make predictions of early heart failure with high accuracy. In this research, we want to predict heart failure using multilayer perceptron neural network (MLP). The prediction of heart failure dataset with the highest accuracy of 88% is better than the other research.
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Le et al. (2020) studied this question.
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