Electrocardiography (ECG) is a crucial tool for diagnosing cardiovascular diseases. In
particular, combining clinical ECG with computer technology for automatic ECG analysis can …

This study compares the Accuracy of Support Vector Machine (SVM) Classifier and Decision
Tree (DT) Classifier in predicting Innovative Bradycardia disease diagnosis. Materials and …

Cardiovascular disorders are typically diagnosed using an Electrocardiogram (ECG). It is a
painless method that mimics the cyclical contraction and relaxation of the heart's muscles …

Abstract Background and Objective Left ventricular hypertrophy (LVH) can impair ejection
function and elevate the risk of heart failure. Therefore, early detection through screening is …

AI techniques have recently been put under the spotlight for analyzing electrocardiograms
(ECGs). However, the performance of AI-based models relies on the accumulation of large …

Nanotechnology seems to be an important scientific method for the diagnosis of a disorder
that offers more precise and appropriate health information. Diabetes mellitus (DM) is a …

Melanoma is a dangerous skin cancer that may spread if not detected early. Thus, the
medical industry has evolved with automated diagnostic tools that may assist physicians and …

A key factor in promoting sustainable economies, industries, and society is the use of electric
vehicles (EVs). They are an important step toward a greener future since they reduce …

This work provides an overview of the research that has been done on using Computer-
Aided Detection (CAD) for the diagnosis of breast cancer. The focus is on mammographic …

Automatic detection and analysis of arrhythmias from Electrocardiogram (ECG) signal is
beginning to take a center stage in recent times, due to delay the nature of ECG signals …