Objectives This study aims to explore the history of prior abortions and the factors influencing them among young women seeking abortion services in Foshan, Guangdong, China. Design This is a ...

This production-ready pipeline implements large-scale QSAR (Quantitative Structure-Activity Relationship) modeling to accelerate drug discovery for coronavirus proteases. Leveraging a dataset of ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Abstract: With the widespread adoption of Noninvasive Prenatal Testing (NIPT), selecting an appropriate testing time has become critical for improving test accuracy. This study proposes a personalized ...

Commonly used linear regression focuses only on the effect on the mean value of the dependent variable and may not be useful in situations where relationships across the distribution are of interest.

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...

Abstract: Eco-driving has emerged as a promising approach to reducing fuel consumption in road vehicles by optimizing driving behavior for enhanced system efficiency. This paper formulates the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

From IDE plugins to external chatbots and running LLMs locally, these new and emerging tools are bringing the generative AI revolution to R. My previous article focused on some of the best tools for ...