Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …

Epileptic seizure detection using scalp electroencephalogram (sEEG) and intracranial
electroencephalogram (iEEG) has attracted widespread attention in recent two decades …

Abstract Background and Objectives Nowadays, an automated computer-aided diagnosis
(CAD) is an approach that plays an important role in the detection of health issues. The main …

The need to improve smart health systems to monitor the health situation of patients has
grown as a result of the spread of epidemic diseases, the ageing of the population, the …

Electroencephalography (EEG) is a widely used technique for the detection of epileptic
seizures. It can be recorded in a noninvasive manner to present the electrical activity of the …

Epilepsy is a disorder of the brain characterized by seizures and requires constant
monitoring particularly in serious patients. Electroencephalogram (EEG) signals are …

Alcoholism is attributed to regular or excessive drinking of alcohol and leads to the
disturbance of the neuronal system in the human brain. This results in certain malfunctioning …

Background and objective Epilepsy the disorder of the central nervous system has its
worldwide presence in roughly 50 million people as estimated by the World Health …

Research in crash severity prediction is necessary to allow safety planners to take
precautionary measures and enable first aiders to remain prepared for assisting the injured …