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Detection of cardiac abnormalities increased prediction of ICU mortality based on logistic regression.
High levels of MR-proADM, CT-proET-1 and PCT were associated with increased prediction of mortality risk scores.
In critically ill children, high levels of MR-proADM, CT-proET-1 and PCT were associated with increased prediction of mortality risk scores.
MR-proADM, CT-proET-1 and PCT levels during the first 12 hours after PICU admission are associated with increased prediction of mortality risk score in critically ill children.
We tested the hypothesis that higher mid-regional pro-adrenomedullin (MR-proADM), carboxy-terminal pro-endothelin-1 (CT-proET-1), procalcitonin (PCT) and C-reactive protein (CRP) plasma concentrations would be associated with increased prediction of mortality risk scores.
Therefore, the objective of our study was the investigation of MR-proADM, CT-proET-1, PCT and CRP levels in a well-defined cohort of consecutive PICU patients to test the hypothesis that higher plasma concentrations would be associated with increased prediction of mortality risk scores in critically ill children.
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The increased predictions of intrinsic disorder in HA are associated with increased infectivity of influenza virus, perhaps via changes in posttranslational modification the ease of which may depend on the tendency to be disordered.
This study considered whether adding more informative structural indices to classic holoprosencephaly categories would increase prediction of cognitive outcomes.
Thus enlargement of the training set increased prediction power of the models according to the CV protocol.
Comparing Table 1 and Table 2, noise significantly increased prediction errors of the 2NN approach, by 84% when D = 0.22 mm and by 44% when D = 0.44 mm.
This reduces the mean-squared error of estimates; it also increases prediction accuracy of out-of-sample cases and prevents over-fitting (de los Campos et al. 2010).
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