Heart disease prediction is more important to prevent the death rate. The death rate
increases due to lack of initial detection of heart disease in humans. To predict heart disease …

The rapid advancement of technology such as stream processing technologies, deep-
learning approaches, and artificial intelligence plays a prominent and vital role, to detect …

Heart disease has recently become a major cause of high mortality rates. Concurrently, data
mining (DM) has also attracted increasing attention in the healthcare field. Identifying this …

In order to remove the burden of heart disease (HD) physicians, recently more researchers
have proposed to apply intelligent approaches, ie, artificial intelligence to solve the HD …

Redundant and irrelevant features disturb the accuracy of the classifier. In order to avoid
redundancy and irrelevancy problems, feature selection techniques are used. Finding the …

The heart disease is considered as the most widespread disease. It is challenging for most
of the physicians to diagnose at an early stage to avoid the risk of death rate. The main …

Multi-layer perceptron (MLP) algorithms play a critical role in improving the accuracy and
effectiveness of heart disease diagnosis in the context of the machine learning research …