Compared to other regression techniques, decision tree regression is easy to tune, works well with small datasets and produces highly interpretable predictions. However, decision tree regression is ...

In machine learning, typically non-linear regression techniques are used. Examples of nonlinear regression algorithms include gradient descent, Gauss-Newton, and the Levenberg-Marquardt methods.

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

"Clinical decision support systems, for example, are designed to help practitioners stay up to date on new developments without requiring them to spend their entire day reading the medical literature.

Decision tree regression is a machine learning technique . To predict the output y for an input vector X, the tree structure encodes a set of if-then rules such as, "If the value of X at index [2] is ...