Although machine learning classifiers have been successfully used in the medical and
engineering fields, there is still room for improving the predictive accuracy of model …

Penyebab dari penyakit jantung koroner yaitu penyumbatan pembuluh darah koroner,
penyakit ini sangat diperhatikan oleh seluruh kalangan masyarakat dikarenakan pengaruh …

Predictive algorithms are often trained by optimizing some loss function, to which
regularization functions are added to impose a penalty for violating constraints. As expected …

With the growing concern of AI safety, there is a need to trust the computations done by
machine learning (ML) models. Blockchain technology, known for recording data and …

This paper presents an ensemble method for binary classification, where each base model
is based on an extended neighbourhood rule (ExNRule). The ExNRule identifies the …

Medical negligence, errors, and delayed diagnoses lead to preventable deaths and serious
health issues. These problems are mainly caused by a shortage or lack of access to …

Activation functions play a key role in neural networks, as they significantly affect the training
process and the network's performance. Based on the solution of a certain ordinary …

One of the primary causes of death globally, heart disease still affects millions of people;
thus, early identification is very essential for efficient treatment. To meet the need for precise …

Heart disease is a fatal illness responsible for approximately 36% of deaths in 2020.
Therefore, it is important to pay attention to and better anticipate the risk of heart disease …

The purpose of this study is creating a machine learning based model is to predict heart
attacks is to improve the capacity to anticipate the occurrence of this dangerous medical …