The examination and classification of Electrocardiogram (ECG) records have become
particularly significant for diagnosing heart diseases. Machine learning methods are widely …

Now-a-days breast cancer has become one of the leading cause of cancer death among
women. This cancer is caused mostly due to the lifestyle changes, avoiding breast feeding …

The accurate separation of ECG signals has become crucial to identify heart diseases.
Machine learning methods are widely used to separate ECG signals. The aim of this study …

In this study, an application of Artificial Neural Networks (ANN), Support Vector Machines
(SVM), and k-Nearest Neighbor (k-NN) machine learning methods is performed to measure …

Electrocardiogram (ECG) illustrates the electrical activity in the heart, and it is the most
important physiological parameter that gives the correct assessment regarding the …

Electrocardiography is used in cardiology to record heart's electrical signals over time. An
accurate ECG beat classification using high efficient system is a challenging problem. Thus …

This paper presents a new approach for feature reduction by using orthogonal rotations.
Wavelet coefficients for beat segments are taken as features which are reduced by factor …

These days one of the major inevitable ailments for females is bosom malignancy. The
appropriate medication and early findings are important stages to take to thwart this ailment …

One method of designing an Intrusion Detection System (IDS) is to have it first learn what is
normal behaviour, and then program it to send an alert whenever a significant deviation …

The movements of electrocardiogram (ECG) signals are very important in the diagnosis of
heart disorders. Machine learning methods are widely used to classify ECG signals. The aim …