Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity
burden that may exceed diagnosis and management capabilities. The situation worsens …

The SARS-CoV-2 virus has proliferated around the world and caused panic to all people as
it claimed many lives. Since COVID-19 is highly contagious and spreads quickly, an early …

Since its outbreak in December 2019, the persistent coronavirus disease (COVID-19)
became a global health emergency. It is imperative to develop a prognostic tool to identify …

This study was designed to develop machine-learning models to predict COVID-19 mortality
and identify its key features based on clinical characteristics and laboratory tests. For this …

In this study, we integrate deep neural network (DNN) with hybrid approaches (feature
selection and instance clustering) to build prediction models for predicting mortality risk in …

Personalized medicine plays an important role in treatment optimization for COVID-19
patient management. Early treatment in patients at high risk of severe complications is vital …

COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …

Background The nextwave of COVID-19 pandemic is anticipated to be worse than the initial
one and will strain the healthcare systems even more during the winter months. Our aim was …

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

Objective: Millions of people have been affected by coronavirus disease 2019 (COVID-19),
which has caused millions of deaths around the world. Artificial intelligence (AI) plays an …