An epileptic seizure is a brief episode of symptoms and signs caused by excessive electrical
activity in the brain. One of the major chronic neurological diseases, epilepsy, affects …

More than 140 autoimmune diseases have distinct autoantibodies and symptoms, and it
makes it challenging to construct an appropriate model using Machine Learning (ML) for …

Emotion recognition based on electroencephalogram signals (EEG) has been analyzed
extensively in different applications, most of them using medical-grade equipment in …

Currently, many individuals are experiencing diabetes, which is attributed to work-related
stress and unhealthy lifestyles. Often, people are only aware of their health status once …

In this paper, the main objective is to estimate the percentage of glycosylated hemoglobin
through an easily accessible computational platform to estimate the risk of generating type 2 …

In this study, three artificial intelligence models, namely group method of data handling,
gene expression programming and random forest, are proposed to predict the ultimate …

Internet of Things (IoT) is one of the most growing technologies that embedded in most
application systems in our life. IoT aimed to solve real world problems in different …

Efficient management of hospital resources is essential for providing high-quality healthcare
while ensuring sustainability. Length of stay (LOS), measuring the duration from admission …

Abstract Type 2 diabetes (T2D) is a prolonged disease caused by abnormal rise in glucose
levels due to poor insulin production in the pancreas. However, the detection and …

• Time series forecasting [1–5];• Image analysis [6];• Medical applications [7, 8];• Knowledge
graph analysis [9, 10];• Cybersecurity [11–13];• Traffic analysis [14, 15];• Agriculture [16];• …