Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...

Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over a ...

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 ...

Several approaches can be taken to predict case membership in the classes of a dependent variable. Classification and regression trees (CART) analysis has been cited repeatedly as a powerful ...

Decision Trees are a type of artificial intelligence (AI) that can be used to make decisions or predict outcomes based on data. Decision Trees involve a hierarchical structure of nodes, with each node ...

Reliable measures of emergency department (ED) use are important for studying ED utilization and access to care. We assessed the association of emergent classification of an ED visit based on the New ...

Now the buyside can monitor and rank its brokers’ algorithms and switching engines in real-time. Kissell Research Group now offers a measurement tool, dubbed Algorithmic Decision Selection Tree, which ...