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A decision tree model with 97.5% classification success was developed based on SO42 − and Cl− variables.
Twenty-one resampling levels were evaluated, with decision tree model built for each.
The decision tree model performed better than the regression model with respect to model fit.
Fig. 3 Decision tree model.
DESIGN, SETTING, AND PARTICIPANTS: We developed a decision tree model using commercially available software.
MAIN OUTCOMES AND MEASURES: Sensitivity of the decision tree model to variation in complication rate.
And so their initial product, the thing that they were developing originally was it was a decision tree model.
When the queue is empty, the program ends and the decision tree model is complete.
In paper [36] authors developed a decision tree model for the diagnosis of type 2 diabetes.
This economic evaluation study was developed by building a deterministic decision tree model with sensitivity analysis.
Figure 1 Schematic decision tree model for antipsychotic drugs in patients with schizophrenia.
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