Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

Introduction: Needless to say that correct and real-time detection and effective prognosis of
the COVID-19 are necessary to deliver the best possible care for patients and, accordingly …

Abstract Background Coronavirus disease 2019 (COVID-19), a global public health crisis,
continues to pose challenges despite preventive measures. The daily rise in COVID-19 …

Introduction: The COVID-19 epidemic is currently fronting the worldwide health care systems
with many qualms and unexpected challenges in medical decision-making and the effective …

Background Renin-angiotensin-aldosterone system inhibitors (RAASi) are commonly used
medications. Renal adverse events associated with RAASi are hyperkalemia and acute …

BACKGROUND: An outbreak of atypical pneumonia termed COVID-19 has widely spread all
over the world since the beginning of 2020. In this regard, designing a prediction system for …

Background: Today, the COVID-19 pandemic is ever-increasingly challenging healthcare
systems globally with many uncertainties and ambiguities regarding disease behavior and …

This study examined the biological, social, and clinical risk factors for mortality in
coronavirus of the year 2019 (COVID-19) hospitalised patients. The population of the study …

Background Hemodialysis is a life-saving treatment used to eliminate toxins and metabolites
from the body during poisoning. Despite its effectiveness, there needs to be more research …

Background Hospital-acquired influenza (HAI) is under-recognized despite its high morbidity
and poor health outcomes. The early detection of HAI is crucial for curbing its transmission in …