Healthcare decision-making has often been viewed as a complex multi-dimensional
problem due to medical, technological, social, ethical, economic, and environmental factors …

Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

In the context of medical decision making, the Type 2 Diabetes (T2D) pharmacological
therapy selection problem involves several medications that can be stipulated to manage …

Different therapeutic classes have been authorized for the treatment of hyperglycemia in
type 2 diabetic patients, and even more drug classes are under development. This variety of …

Background Diabetes mellitus prevalence is increasing among adults and children around
the world. Diabetes care is complex; examining the diet, type of medication, diabetes …

In the era of data deluge, the world is experiencing an intensive growth of Big data with
complex structures. While processing of these data is a complex and labor-intensive …

In the last decades, the art and science of multi-attribute decision-making (MADM) have
witnessed significant developments and have found applications in many active areas. A lot …

Metabolic syndrome (MetS) has long-term, very detrimental effects, including chronic kidney
disease, cardiovascular disease, stroke, and diabetes mellitus. Therefore, early detection of …

Since solar photovoltaic (PV) stations are experiencing rapid growth, their potential fire risk
needs to be studied as a priority to avoid catastrophic consequences. This study developed …

The purpose of this research is to develop a novel approach to benchmark smart community
health centers in order to achieve continuous improvement of service quality. Three methods …