Publications by authors named "Wahaj A Khan"

Background: The coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered SARS-CoV-2 virus. Patients diagnosed with COVID-19 experience several complications including hypertension or elevated blood pressure which is a serious medical condition that significantly increases the risks of heart, brain, and kidney diseases.

Objectives: To assess the prevalence and control of hypertension in COVID-19 patients.

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Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, significantly enhances the prognosis of patients. This research presents a new method for improving CRC detection using a deep learning ensemble with the Computer Aided Diagnosis (CADx). The method involves combining pre-trained convolutional neural network (CNN) models, such as ADaRDEV2I-22, DaRD-22, and ADaDR-22, using Vision Transformers (ViT) and XGBoost.

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Alzheimer's disease (AD), a prevalent neurodegenerative disorder, leads to progressive dementia, which impairs decision-making, problem-solving, and communication. While there is no cure, early detection can facilitate treatments to slow its progression. Deep learning (DL) significantly enhances AD detection by analyzing brain imaging data to identify early biomarkers, improving diagnostic accuracy and predicting disease progression more precisely than traditional methods.

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Coronavirus has long been considered a global epidemic. It caused the deaths of nearly 7.01 million individuals and caused an economic downturn.

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Background Sepsis is one of the most common causes of morbidity and mortality in newborns. Diagnosis of neonatal sepsis may be difficult because the clinical presentations are often nonspecific. Neonatal sepsis may have an early onset (zero to three days) or a late onset (four days or later).

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Objective: This study aimed to assess the practices and attitudes of the general population towards coronavirus disease-2019 (COVID)-19 after the removal of precautionary and preventive measures in Saudi Arabia.

Methods: A cross-sectional study was conducted among the general population in all regions of the Kingdom of Saudi Arabia, from September 2022 to October, 2022 via a virtual survey to evaluate the practices, and attitudes of the general population towards COVID-19. A stratified random sampling technique was applied to collect the sample with inclusion criteria for all individuals who are Arabic language speakers using social media platforms.

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