Importance Identifying the associations between severe COVID-19 and individual
cardiovascular conditions in pediatric patients may inform treatment. Objective To assess the …

Web privacy-enhancing technologies have been grown to preserve the users' privacy
against sophisticated traffic analysis attacks aimed at inferring sensitive information. An …

Background The application of machine learning (ML) to analyze clinical data with the goal
to predict patient outcomes has garnered increasing attention. Ensemble learning has been …

Background A combined forecast from multiple models is typically more accurate than an
individual forecast, but there are few examples of studies of combining in infectious disease …

Background We investigated the association between chronic pediatric neurological
conditions and the severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV …

Healthcare's evolution amid rapid scientific progress demands the efficient management of
extensive data. This has given rise to electronic health passports, which play a crucial role in …

Background The primary treatment for patients with myocardial infarction (MI) is
percutaneous coronary intervention (PCI). Despite this, the incidence of major adverse …

Background: Post-Acute Sequelae of COVID-19 (PASC) have emerged as a global public
health and healthcare challenge. This study aimed to uncover predictive factors for PASC …

Packet filtering is a fundamental feature for the firewall as the security of the whole system
depends on it, but on the other hand, it should also be fast and efficient and should be able …

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 …