Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …

Genetic Algorithms are the population based search and optimization technique that mimic
the process of natural evolution. Genetic algorithms are very effective way of finding a very …

Over the past few decades, methods for classification and detection of rhythm or morphology
abnormalities in ECG signals have been widely studied. However, it lacks the …

Fused deposition modeling (FDM), a well known 3D printing technology is widely used in
various sorts of industrial applications because of its ability to manufacture complex objects …

Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …

Electrocardiogram (ECG), non-stationary signals, is extensively used to evaluate the rate
and tuning of heartbeats. The main purpose of this paper is to provide an overview of …

Abstract Background and Objective: Automatic screening tools can be applied to detect
cardiovascular diseases (CVDs), which are the leading cause of death worldwide. As an …

When mining in high dimensional data, the curse of dimensionality is one of the major
difficulty to overcome. In this paper, a weighted feature selection strategy is developed and …

The medical practitioners study the electrical activity of the human heart in order to detect
heart diseases from the electrocardiogram (ECG) of the heart patients. A myocardial …

Abstract Background and objective Myocardial Infarction (MI) is one of the most frequent
diseases, and can also cause demise, disability and monetary loss in patients who suffer …