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

The release of "Open Molecules 2025", an unprecedented dataset of molecular simulations, can accelerate opportunities for machine learning to transform research in fields such as biology ...

OpenAI, the creator of artificial intelligence chatbot ChatGPT, has a new open-source large language model called HealthBench that lets the health care industry benchmark AI models, the company ...

This paper presents an autoML algorithm to select linear regression model and its performance evaluation for any linear dataset. It computes and compares the performance of various multiple linear ...

In this study we present a simple linear regression model that predicts the redox potential of Fe–S based on experimental measurements. We outline the stepwise refinement of predictive models for Fe–S ...

A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of predictive ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...

Abstract In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...