Sentence examples for models for mortality from inspiring English sources

The most commonly used prediction models for mortality benchmarking are based on vital signs and injury pattern, including the Trauma and Injury Severity Score (TRISS), which is less accurate in the elderly.

Moreover, some evidence suggests that prediction models for mortality should be adjusted for the use of vasopressors [28], prothrombin index [29, 30] and platelet count [31, 32].

Our models for mortality were also quite robust with all AUCs of at least 0.80 and some approaching 0.90 (Tables 6, 7).

The models for mortality included all the men.

Briefly, two models for mortality prediction were developed.

A distinction must be made between predictive models for mortality and predictive models for LOS.

We compiled data published in the past 30 years on eel mortality during the continental phase of the life cycle for 15 eel stocks and calibrated a general model for mortality, considering the effects of body mass, temperature, stock density and gender.

We used logistic regression to derive a prediction model for mortality within 7 days of NICU admission and develop the Transport Risk Index of Physiologic Stability (TRIPS).

A multivariate predictive model for mortality was constructed by using the variables that had significant interactions with the rate of demise (P ≤.1).

A multivariable risk model for mortality and major morbidity was constructed.

We constructed a new prediction model for mortality in critically ill patients receiving thromboprophylaxis.