This study investigates various factors for assessing sustainability in Multi-tier Supply Chains
(MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system …

The pandemic COVID-19 disease has had a dramatic impact on almost all countries around
the world so that many hospitals have been overwhelmed with COVID-19 cases. As medical …

Intelligence healthcare expert systems (HCISs) assist decision-makers diagnose accurately
and treat patients' diseases. In a pandemic, they can also, by identifying the causes of higher …

This research investigates the use of Fuzzy Set Theory and the Kappa Co-efficient in
diagnosing urological disorders, with a special focus on utilizing the prostate cancer dataset …

In the field of computer science, expert systems have attracted many computer scientists. In
recent years, expert systems have been widely used in the medical field, particularly for …

Multiple sclerosis (MS) is a chronic autoimmune and inflammatory disease affecting the
central nervous system (CNS). Magnetic resonance imaging (MRI) provides sufficient …

The present study is to address performance of the dairy supply chain and emphasizes the
significance of reliability of the chain as a fundamental and critical attribute for fulfilling the …

This research developed an expert system based on the neural network to analyze prostate
cancer risk. This model does not diagnose prostate cancer but helps a medical practitioner …

Prostate cancer biopsy decision is a complex process which is based on various variables
but no definitive cut-off value can be used. Due to this limitation, a person who does not …

One of the main reasons that kill men annual is prostate cancer. It is the second deadliest
and common cancer in men after lung and skin cancer respectively. Prostate cancer in their …