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Advantages of this approach include its basis on decision trees and the availability of the algorithm in many different open source software packages including R. In fact, the Willows package was designed specifically for tree-based analysis of SNP data (Zhang et al., 2009).
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However, a decision model based on decision trees exponentially grows with inspection and maintenance number.
It is an ensemble classifier methodology based on decision trees.
On this basis, distinctive decision trees are introduced in order to facilitate the identification of processes in which the use of an RPB is expected to be beneficial.
On the basis of our decision tree prediction model with three prehospital variables (prehospital ROSC, initial shockable rhythm and witnessed arrest), children can be readily stratified into four groups after OHCA (good, moderately good, poor and very poor) that can help predict both 1-month survival and 1-month favorable neurological outcome.
On the basis of a decision-tree prediction model using four prehospital variables (shockable initial rhythm, age, witnessed arrest, and witnessed by EMS personnel), OHCA patients can be readily stratified into the four groups (good, moderately good, poor, and absolutely poor) that help predict both survival at 1 month and survival with favorable neurologic outcome at 1 month.
Conclusions: the results can be used as the basis of quality assurance or in decision trees or other models.
are clustered based on acoustic differences using decision trees [37].
The random forest contained 100 decision trees on average.
The time between successive decision stages on a decision tree may be substantial.
So explore the less familiar options on your decision tree.
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