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

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 ...

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 ...

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 ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

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