Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …

While coronary angiography is the gold standard diagnostic tool for coronary artery disease
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …

Along with the development of the Internet, the emergence and widespread adoption of the
social media concept have changed the way news is formed and published. News has …

An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …

In this paper we present a framework that allows for the automatic identification of sporting
activities using commonly available smartphones. We extract discriminative informational …

Automated electrocardiogram (ECG) analysis cannot be employed in clinical practice due to
the accuracy of the present models. Deep Neural Networks (DNNs) are models made up of …

Abstract The 3D Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM) are
used in this study to analyze and characterize Electrocardiogram (ECG) signals. This …

In this paper, decision trees machine learning algorithms, namely Random Forest (RF),
Alternating Decision Tree (ADT), and Logistic Model Tree (LMT), were applied for modelling …

Coronary artery disease (CAD) is the most dangerous heart disease which may lead to
sudden cardiac death. However, CAD diagnoses are quite expensive and time‐consuming …

Heart disease is the principal cause of death across the globe and the ECG signals are used
to diagnose it. The correct classification of this disease allows us the opportunity to apply a …