Numerous aspects of healthcare have been altered by cloud-based computing. Scalability of
required service as well as ability to upscale or downsize data storage, as well as the …

An urgent task at this moment is the use of blockchain technology to ensure the security of
medical decision support systems (MDSS). Our research is devoted to development of …

Deep learning (DL) involves a multi‐level layer model that uses the output from one layer as
input to another. Unsupervised learning automatically learns handy features and conveys …

The main goals of the multifaceted healthcare system were to prevent, identify, and treat
illnesses or conditions that affect human health. As the usage of IT in healthcare increased …

The purpose of this investigation is to develop a method for quantitative assessment of the
uniqueness of personal medical data (PMD) to improve their protection in medical …

New opportunities for effective patient data management have emerged as a result of
introduction of electronic health records (EHRs). By utilizing ML to mine digital patient record …

The potential implementation of extensive data sharing in dispersed network systems is
likely to give rise to concerns surrounding privacy, secrecy, and authentication inside the …

The healthcare sector is evolving daily thanks to fast evolution and rapid advancements. It
benefits from novel technologies such as Artificial Intelligence (AI) and Blockchain. These …

We considered the known MDSS and solutions regarding the possibility or impossibility of
organ and tissue donation/transplantation, as well as the possibility or impossibility of …

Over the years, huge amounts of data are being generated in various sectors. The
healthcare industry is one of the largest, and patient medical record data is growing …