Objectives The psychological effects of acute pulmonary embolism (PE) have scarcely been studied. The aims of this study were to evaluate health-related quality of life (HRQoL) in patients with a ...

Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...

A mixture density network (MDN) Layer for Keras using pure Keras 3 operations. This makes it a bit more simple to experiment with neural networks that predict multiple real-valued variables that can ...

Our modified synthetic data generation and analytic techniques have sequential components and many related analyses. Therefore, clear definitions, preliminaries, and a brief outline are given before ...

The use of pseudo-absence data constrained by environmental conditions can facilitate potential distribution predictions of invasive species. However, pseudo-absence data generated by existing methods ...

Multiple imputation 1 is a widely applied approach for the analysis of incomplete datasets. It involves replacing each missing cell with several plausible imputed values that are drawn from the ...

Stroke infarct volume predicts patient disability and has utility for clinical trial outcomes. Accurate infarct volume measurement requires manual segmentation of stroke boundaries in ...

In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To ...

Patients with active cancer have an increased risk of venous thromboembolism, which results in substantial morbidity, mortality, and health care expenditures. The Khorana score (range, 0 to 6, with ...

Examining the practicality of implementing CM techniques to drive trial oversight efficiency while saving on-site monitoring resources and costs. As it permits the study team to proactively detect ...