Sentence examples for mortality prediction with from inspiring English sources

Furthermore, WPS was found to have good discriminatory power in mortality prediction, with AUC being 0.74 [4].

The relative improvement in DeOx, measured as the ratio between DeOx48 and DeOx0, was the best parameter for 28-day mortality prediction, with an AUC of 0.91 (p < 0.01).

The same model also performed well in the 4-year mortality prediction with a C statistic = 0.81 (0.75–0.86) and was also calibrated (P value = 0.73).

Our models showed high levels of discrimination for mortality prediction, with a c-statistic of 0.89 (95% confidence interval: 0.89-0.90) in the bootstrap-corrected model.

Receiver operator characteristic (ROC) curves were determined for mortality prediction with pHi and cardiac index values at different time points of resuscitation.

All models displayed good calibration for hospital mortality prediction with no significant over- or under-prediction intervals, as measured by the GiViTI calibration belt (see Additional files 4 and 5).

Among its specific objectives are the update of a severity of illness index (Simplified Acute Physiology Score) with a mortality prediction equation, with the hindsight of recent years, and the creation or application of novel instruments in the areas of infections and cost-effectiveness.

Peres Bota and colleagues [ 9] demonstrated that the MODS score and the SOFA score correlate well with the outcome in terms of mortality prediction and with the APACHE II (Acute Physiology and Chronic Health Evaluation) score.

Table 3 shows the in-hospital mortality prediction model with LOS as a predictor (Model 1).

Table  3 presents the results of 4 mortality prediction models with the adjusted ORs of 30-day in-hospital mortality.

To our knowledge, this is the first study to examine a mortality prediction model with commonly used procedures and medications, and the results suggest the usability of procedure records for risk adjustment.