Decision trees are flexible enough to handle items with a mixture of real-valued and categorical features, as well as items with some missing features. They are expressive enough to model many ...

Conclusions Decision tree analysis yielded a statistically significant decision tree model which can be used clinically to identify patients at initial presentation who are at a higher risk of having ...