A: A random forest is a machine-learning method that makes predictions by combining the decisions of many simpler models called decision trees. A decision tree works like a tree from bottom-up. At ...

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 ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

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

Researchers identified distinct demographic, clinical, and serologic predictors of incident LVSD and cardiac recovery among patients with SSc.

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

The EU–ECOWAS Scholarship Programme for Sustainable Energy, funded and launched in September 2022 by the European Union in ...

An interdisciplinary study released recently has revealed how artificial intelligence and data science can help preserve endangered indigenous cultural ...