Abstract In this paper, Recurrent Neural Networks (RNN) have been applied for classifying
the normal and abnormal beats in an ECG. The primary aim of this paper was to enable …

Over the past two decades, large amounts of biomedical and clinical data have been
generated. These high dimensional datasets contain thousands of genes. However, such …

In order to effectively integrate medical data and alleviate the problem of uneven distribution
of medical resources. In this paper, we combine the techniques of expert systems, graph …

Abstract Genetic Algorithms (GA), Ant Colony Optimization (ACO), Particle Swarm
Optimization (PSO) and Artificial Bee Colonies (ABC) are some vital nature inspired …

Nature-inspired computing (NIC) computer optimization algorithms are an emerging
approach that relies on the principles and inspiration of the biological development of nature …

In recent years, predicting heart disease has become one of the most demanding tasks in
medicine. In modern times, one person dies from heart disease every minute. Within the field …

Cardiac arrhythmia is one of the most important cardiovascular diseases (CVDs), causing
million deaths every year. Moreover it is difficult to diagnose because it occurs intermittently …

Most psychologists argue that facial behavioral during lying is different from facial behavioral
when telling the truth, so the facial behavioral can be used as reliable indicators for spotting …

Wireless body sensor networks (WBSNs) plays a vital role in monitoring health conditions of
patients and is a low-cost solution for dealing with several healthcare applications …

Reliable Visual Depression Diagnosis system (VDD) is becoming an extraordinary method
to reduce suicides around the world as well as other social issues, particularly after the …