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Cost-effectiveness in the hospital is currently estimated by decision tree analysis.
We have at the same time confirmed the results obtained by decision tree analysis with univariate statistical methods.
Among 9 tongue indicators, 6 major tongue indicators (red tongue, pale tongue, yellow fur, white fur, thick fur, teeth-marked tongue) were selected by decision tree analysis.
Kaplan-Meier analysis comparing low (n = 158) and high (n = 201) SNAS, as defined by decision tree analysis, revealed that a high SNAS was associated with decreased OS (p = 0.003) and BCSS (p = 0.004).
In a prognostic model by decision tree analysis, the blood coagulation factors (prothrombin time, platelet) and SOFA at 5 days after admission were the most significant prognostic factors of 7-day mortality.
The overlaid borders settled by decision tree on the contour plot of Area-IgA indicated that patients with a high score of Area-IgA belonged to Group B. A model of Area-IgA was built by decision tree analysis.
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The scores and predictions generated by the decision tree analysis will then be compared with that of the inception HEWS cohort.
Then, practicing reliability managers and engineers will be able to accurately evaluate the reliability improvement results of a multi-characteristic engineering design by conducting a decision tree analysis.
Here we show that it is possible to predict TRAIL sensitivity with high accuracy by using hierarchical decision tree analysis of transcriptomic data.
Finally, we chose the optimal threshold of the NTI given by the one-level decision tree analysis described above as the best criterion for detecting Alzheimer's disease at its prodromal stage.
In similar fashion to the decision tree analysis employed by [ 37], we imposed a constraint for decision tree construction that a node can only be split again if it contained at least 15% of the smallest AP-1 response category.
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