The Zuckerberg College of Health Sciences, Department of Public Health, invites you to attend a doctoral dissertation defense by Kaylea Flangan, MPH, RD on “Ultra-Processed Food Consumption, Cognitive ...

Seizure classification is vital for the management of people with seizures and epilepsy, as the type of seizure can determine therapeutic options. Specific seizure types often respond best to targeted ...

Background Restarting direct oral anticoagulants (DOACs) after a serious bleeding event in patients with atrial fibrillation ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Imbalanced datasets are prevalent in real life. The imbalanced datasets pose challenges for classification and regression tasks. Compared to imbalanced classification, imbalanced regression deals with ...

Traffic accident risk forecasting is vital for enhancing the safety of Intelligent Transportation Systems (ITS). While current approaches rely on Spatiotemporal Graph Neural Networks (STGNNs) with ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

The purpose of this study is to explore the use of classification regression trees (CART) in predicting, in the dose-independent range, the fraction dose absorbed in humans. Since the results from ...

Alibaba Cloud has developed a new cluster management system called Eigen+ that achieved a 36% improvement in memory allocation efficiency while eliminating Out of Memory (OOM) errors in production ...

A novel integrated molecular imaging approach enables precise localization and quantification of heart damage, as well as accurate identification of disease subtypes. The dual PET/MR and PET/CMR ...