A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Tools like Google Trends, Twitter (X), and other social media platforms surfaced as dominant data sources. Researchers ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

To find out more about the Prescient AI platform, visit https://prescientai.com/platform.

The benefits of regression analysis are manifold: The regression method of forecasting is used for, as the name implies, forecasting and finding the causal relationship between variables.

Researchers from the University of Campinas (Campinas, Brazil) and the Waters Research Center (Budapest, Hungary) introduced ...

Recently, a research team at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences (CAS) proposed a novel model optimization algorithm named External Calibration-Assisted ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.