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

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

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

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

The institutions winning today aren't winning because they have smarter traders or better customer service. They're winning because they've solved a fundamental architecture problem: how to turn ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

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

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...

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

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 ...