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

Script y datos del ejemplo de analisis de regresion lineal multiple utilizado en el manual: Introducción al entorno de programación R y su aplicación en el análisis estadístico de datos. Predicting ...

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 ...

3.2. Machine Learning Models Three machine learning models were implemented for classification: 1) Logistic Regression (LR): A linear classifier that predicts the likelihood of CHD based on input ...

The paper introduces the PILOT learning algorithm for constructing linear model trees, enhancing decision tree interpretability and performance. It uses a standard regression model with centered ...

This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of Simple and Multiple Linear regression models to perform ...

A machine learning tool to rapidly monitor disease status in patients with multiple myelomaPURPOSEThe gold standard for monitoring response status in patients with multiple myeloma (MM) is serum and ...