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.
Furthermore, classifications of SGA and LGA were calculated using other commonly used thresholds, 5th/95th (z<−1.645 or >1.645) and 3rd/97th (z<−1.88 or >1.88) centiles, 13 19 26 28 to see if these increased prediction of adverse delivery characteristics and neonatal morbidity.
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.
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).
