Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It
provides approaches to achieving precision medicine that delivers healthcare services …

In the past decade, a substantial increase in medical data from various sources, including
wearable sensors, medical imaging, personal health records, and public health …

Healthcare systems are highly sensitive to cyberattacks as these systems possess most of
the sensitive information compared to other systems relying on internet facilities. Due to the …

Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …

In the modern digital era, software systems are extensively adapted and have become an
integral component of human society. Such wide use of software systems consists of large …

Objective Artificial intelligence (AI) has been increasingly applied in various fields of science
and technology. In line with the current research, medicine involves an increasing number of …

Predicting patient's length of stay (LOS) is a crucial determinant for hospitals to maintain
resource efficiency and quality treatment, where machine learning-based predictive …

While blockchain technology (BT) is considered secure, there are several vulnerabilities that
can breach its security. The study in artificial intelligence (AI) and BT is widely popular due to …

The location of logistics nodes that facilitate the China Railway Express (CRexpress) and
rail-sea intermodal transportation has received increasing attention in China under the Belt …

In the contemporary landscape, where a huge amount of data plays a vital role, the
importance of strong and robust cybersecurity measures has become increasingly …