The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

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

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 ...

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

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

This video is a one stop shop for understanding What is linear regression in machine learning. Linear regression in machine learning is considered as the basis or foundation in machine learning ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Keywords: bladder cancer, immunogenic cell death, machine learning, multi-omics integration, immunotherapy, prognosis signature Citation: Yan H, Ji X and Li B (2025) Advancing personalized, predictive ...

The research methods in this study include data preprocessing and feature selection, training and optimization of machine learning models, application of Principal Component Analysis (PCA), multiple ...

KNN regression was used to extract reference values for spirometric parameters FEV 1, FVC, FEV 1 /FVC, and FEF 25–75%, considering height and age as features. The performance of KNN regression was ...