A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Among patients with IBD, younger adults, women, and those with lower income and education experience more financial toxicity.

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

Abstract: This paper examines the usefulness of logistic regression in forecasting the consumer bankruptcy using an imbalanced dataset. It aims to build statistical models that help identify consumers ...

Background In May 2020, England banned menthol as a characterising flavour in cigarettes. However, the sale of menthol accessories (eg, filters, flavour cards) remains permitted. This study assessed ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers developed a data-driven framework for autonomous tomato harvesting, improving success rates through YOLOv8-based ...

Background In 2024, the UK National Institute of Health and Care Excellence (NICE) recommended TriageHF alerts as an option ...

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...