Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

GHI maintains that its comparable global data and methodological indicators remain valid. Despite economic growth and large-scale food production, India continues to face severe food insecurity and ...

Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...

Abstract: This paper proposes using collisions of Pareto random variables in traffic analysis and in generating fictitious network traffic that follows various Pareto distributions. Pareto ...

A decrease in processing speed is associated with several antecedents, including old age, a decline in fine motor function, and the deterioration of brain connectivity. Patient processing speed is a ...

High cognitive reserve (CR) has been related to lower dementia risk, but its association with heart disease (HD) is unknown. We aimed to explore the relation of CR to HD and cardiac structure and ...

I have a large and complex random forest that I can fit using rfsrc. I have 30000 observations for 90 explanatory and 1 Y variable that is class based. I am trying to get partial dependence plots for ...

Introduction: Large artery stiffness leads to increased pulsatile energy transmission to the microvasculature, resulting in microvascular damage in high-flow low-resistance organs, including the ...