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

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

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

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

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...

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

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

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...