A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Predicting the outcome of mental health therapy is a vital goal. Statistical models have been used. Now, we turn to using AI ...

New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...