An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

Conclusion: Our study shows potential implementation of machine learning decision tree model algorithms based on a hierarchical, convenient, and personalized use of perfusion and spectroscopy MRI data ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...

A new decision tree tool developed by an American Society of Anesthesiologists (ASA) task force helps anesthesiologists manage their patients who have difficult airways.

The DT Model Decision tree algorithms partition the sample data by splitting prediction features at discrete cut-points and are usually presented in the form of a tree. The DT algorithm uses the Gini ...