A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Early sexual activity, often defined as initiation before 16, is a risky behaviour associated with many negative social and health outcomes. Sexual norms restricting sex till marriage have declined in ...

Abstract: Random feature latent variable models (RFLVMs) are state-of-the-art tools for uncovering structure in high-dimensional, non-Gaussian data. However, their reliance on Monte Carlo sampling ...

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 ...

Random number generation is an essential feature in Excel, allowing users to perform tasks such as simulations, creating test datasets, or experimenting with spreadsheet models. Excel provides three ...

The study of specific physiological processes from the perspective of network physiology has gained recent attention. Modeling the global information integration among the separated functionalized ...

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 ...

Amid efforts to address energy consumption in modern computing systems, one promising approach takes advantage of random networks of non-linear nanoscale junctions formed by nanoparticles as ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

a, An illustration of liquid crystal polymer-based random wrinkles observed using a microscope and converted into a binary code, random and unique, and used as a PUF. Liquid crystals have different ...