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A two-level decision tree example is presented.
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Fig. 3 Decision tree model.
Open image in new window Fig. 3 A decision tree illustrating Example 5.
After the training session, the paediatricians received a pocket card, presenting a decision tree, an example of the KLIK PROfile and the reminders.
In the decision tree, for example, if a patient falls into the indeterminate range of the decision tree and a test bolus is given with no improvement in CO, then the threshold required for a test bolus in the indeterminate zone will be raised by the algorithm.
Decision trees, for example, use techniques such as classification and regression trees, boosting and random forest to predict various outcomes.
A schematic decision tree for the example of FDG-PET-CT versus CT versus chest X-ray in the follow-up of curatively treated NSCLC is shown in Fig. 2, which is a simplified version of a decision tree used in a recently published study [ 6].
The proposed solution is a framework for learning Terminological Decision Trees from examples described in an ontological knowledge base, to be used for performing instance classifications.
Decision trees are examples of weak learners, that is, classifiers characterized by low bias but high variability [16], [17].
This method approximates the function for the target attribute by learning a decision tree from previous examples.
For example, in decision tree learning this means that examples end in the same leaf node, while in decision rule learning this means that examples are covered by the same rule.
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CEO of Professional Science Editing for Scientists @ prosciediting.com