Nonlinear vs. Linear Regression: Differences and Applications

Learn how nonlinear and linear regression models differ, predict variables, and their applications in data analysis for ...
Nature

Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application

A combined methodology was performed based on chemometrics and machine learning regressive models in estimation of polysaccharide-coated colonic drug delivery. The release of medication was measured ...
Nature

Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer’s Disease

Wearable data is a rich source of information that can provide a deeper understanding of links between human behaviors and human health. Existing modelling approaches use wearable data summarized at ...