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

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring ...

Prescient AI today released a new forecasting and optimization model built from the ground up to replace failing measurement frameworks that can't keep pace with today's high-stakes marketing ...

Nature is marked not only by struggles for survival, but also by remarkable feats of cooperation. From microbes to insects to humans, organisms work together in a variety of ways to gather and share ...

Around the globe, researchers are doubling down. New research uncovers major issue with tsunami warning systems: 'It's not a ...

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Frequent and permanent night shift work is associated with increased lung cancer risk with smoking being a significant factor.

Cognitive impairment is increasing globally. All stages of dementia are marked by declines in memory and executive function.

Prince William has taken a "forensic interest" in a new study that questions the charitable value of royal patronages, ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...