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Decision tree for early detection of cognitive impairment by community pharmacists / Maria Teresa Climent et al

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Academic year: 2020

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Figure

FIGURE 1 | Flowchart of the research study. The flow on the left represents the research study whose data were applied machine learning algorithms
TABLE 2 | Description of significant quantitative variables for a univariate logistic regression with a significance level α = 0.01.
FIGURE 2 | Tree developed with a recursive partitioning algorithm using a training set
FIGURE 3 | ROC curves of the predictive models for the test set. Models assign a probability to every user and the sensitivity and specificity are calculated for all possible cut–off points
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