In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

Purpose the problem of big data analytics and health care support systems are analyzed.
There exist several techniques in supporting such analytics and robust support systems; still …

The Internet of Things (IoT) has revolutionized interaction with technology, enabling
seamless connectivity and data exchanges, opening up new possibilities for engineering …

Ambient assisted technology (AAT), which has the potential to enhance patient care and
productivity and save costs, has emerged as a strategic goal for developing e-healthcare in …

The potential of the Internet of Things (IoT) in revolutionizing the healthcare industry through
real-time monitoring and analysis of patient data, remote patient care, and predictive …

Abstract The Internet of Medical Things (IoMT) has transformed the healthcare sector by
allowing for the continuous gathering, transfer, and analysis of medical data via networked …

In medical imaging, image security is crucial yet difficult to implement. To protect medical
images, numerous studies have been carried out. Image confidentiality may be achieved …

In this present time, Human Activity Recognition (HAR) has been of considerable aid in the
case of health monitoring and recovery. The exploitation of machine learning with an …

Millions of people worldwide suffer from by the deadly brain disorder known as Alzheimer's
Disease (AD). Alzheimer's disease is an incurable neurological disorder that affects brain …

Health-related technologies are starting to make use of context awareness, a pervasive
computing field that has begun to impact healthcare infrastructure. People and healthcare …