Introduction The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …

BACKGROUND: From December 2019, atypical pneumonia termed COVID-19 has been
increasing exponentially across the world. It poses a great threat and challenge to world …

The primary factor that contributes to the transmission of COVID-19 infection is human
mobility. Positive instances added on a daily basis have a substantial positive association …

Inspired by how some cognitive abilities affect the human decision-making process, the
proposed approach combines neural networks with type-2 fuzzy systems. The proposal …

Background: Since hospitalized patients with COVID-19 are considered at high risk of death,
the patients with the sever clinical condition should be identified. Despite the potential of …

As a result of the increased number of COVID-19 cases, Ensemble Machine Learning (EML)
would be an effective tool for combatting this pandemic outbreak. An ensemble of classifiers …

Air pollution represents a world health problem for decades. The monitoring of pollutants in
the air is a process that allows using the information recorded in a period to notify what the …

Background Diabetic nephropathy (DN) is the most common microvascular complication of
diabetes mellitus (DM) and is identified as a leading cause of the end-stage renal disease …

The human being can solve multiple problems simultaneously using different parts of the
brain, which by itself represents a complex subject of study. For several decades, a great …

A significant factor in the negative impact of the operation of a develo** country is the
change in global economic conditions, combined with the possibility of the materialization of …