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

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

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

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

After mass shootings, Democrats are nearly four times more likely than Republicans to post about guns on social media, but the disparity goes deeper ...

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

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

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

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning #LogisticRegress ...

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