Sentence examples for models predicting death from inspiring English sources

In multivariate analyses, it was retained in the models predicting death or the combined endpoint of death and dementia, but not dementia alone.

This was a prospective multi-centre cohort study designed to validate previous models predicting death and mode of death in patients with CHF, in addition to identifying markers of increased risk of AHFS hospitalisation in stable outpatients with CHF secondary to left ventricular systolic dysfunction.

We constructed logistic regression models predicting death in hospital comparing weekend versus weekday admissions for elective and emergency admissions after adjusting for a number of patient case-mix factors and other covariates with reasonable model calibration and discrimination statistics for the 10% sample models (Table 4).

The first model, predicting death after ICU discharge (before hospital discharge) had an AUC value of 0.74 compared to AUC garnered from APACHE II of 0.69.

The developed model predicts death accurately in 2/3 cases.

In the clinical trial validation cohort, the model predicted death or ventilator dependence better than day 1 SAPS II and Acute Physiology and Chronic Health Evaluation (APACHE) II scores (P < 0.01; Figure 2).

The estimated racial disparity can be decomposed into a mixing proportion effect and two rate effects (in particular, one for the "normal" subpopulation and the other for the "compromised" subpopulation) by applying Kitagawa decomposition analysis [ 21] to the model predicted death rates (Table 3).

Table 6 Cox regression models for predicting death Predictora Unadjusted p value 95% CI   hazard ratio     Chest radiograph score 1.72 0.3 (0.59–4.99) Extravascular lung water 1.14 0.001 (1.05–1.23) index (ml/kg)       PaO2 / FiO2 0.83 0.003 (0.74–0.94) aPer 10 point increase in chest radiograph score and PaO2/FiO2.

The adequacy of the model for predicting death was assessed according to the percentage of improvement in the model as compared to the initial deviance (likelihood χ), C statistics, and Hosmer-Lemeshow test.

We developed a prognostic model for predicting death within 14 days after each episode, based on patient data available at sepsis onset.

We developed a model for predicting death within 14 days after the diagnosis of the first, second, third or fourth episode of severe sepsis occurring within 28 days after ICU admission.