Sentence examples for mortality prediction for from inspiring English sources

By contrast, early mortality prediction for intensive care unit patients remains an open challenge.

First, the overall mortality prediction for all six systems was accurate, as reflected by the SMRs.

Of note, GDF-15 may provide prognostic information above and beyond the information provided by the TIMI risk score highlighting its ability to independently improve mortality prediction for other patient populations [ 2].

The area under the curve (AUC) values for mortality prediction for NGAL, BNP and TIMI score were 75.5, 78.7 and 74.4, respectively (all p<0.001) with optimal cut-off values of 84 pg/mL for NGAL and 150 pg/mL for BNP.

Analysis of laryngeal cancer mortality trends in Brazil and its geographic regions for the period 1996-2010 and calculation of mortality predictions for the period 2011-2030.

However, the tolerant softwood type did not have as flat trajectories as those observed for the other types when k = 25, suggesting that mortality predictions for tolerant species might be less sensitive to bandwidth.

Our objective was to study pleural cancer mortality trends as an indicator of mesothelioma mortality and update mortality predictions for the periods 2011 2015 and 2016 2020 in Spain.

Figure 6 shows the corresponding marginal excess mortality predictions for a single hot day (non-heat wave day; lag 0 only).

Figures 5 and 6 show the effects of a 5 unit increase in maximum daily temperature from 26 C to 31 C (the heat wave threshold is 27.5 C). Figure 5 shows the excess mortality predictions for day 4 of a heat wave (including the 0 3 day lagged effects) while varying the degrees of freedom of the main temperature-mortality relationship, and showing the results for three different models.

Adjustments for differences in case-mix were done using the Ontario AMI mortality prediction rule for 30-day mortality, whose derivation and validation are described elsewhere [ 26].

Derivation and Internal Validation of a Mortality Prediction Tool for Initial Survivors of Pediatric In-Hospital Cardiac Arrest.