Sentence examples for morbidity modelling from inspiring English sources

Incidence estimates were based on Australian-specific excess influenza morbidity modelling.

Scores of predictive morbidity models can be built, from the most mundane – back pain correlated to sleep deprivation – to the most critical involving heart conditions linked to various lifestyle factors.

We sought to develop and evaluate a risk-adjusted perioperative morbidity model for vaginal hysterectomy.

None of these vaccines provides or is likely to provide full protection against helminth infection and morbidity (model I or "leaky" vaccine [23], [24]).

The results for the morbidity models showed a significant improvement in prediction over age/sex-adjusted models, with increased improvement for the combined model (including pharmacy).

The number of observations in Table 4 is less than 1442 because of missing data; n = 1038 for the morbidity model, and n = 1442 for the mortality model.

Consequently, heart disease which showed a higher risk in the inpatient model (accurate coding) showed a lower risk in the drug-based morbidity models (poor sensitivity).

An ICU morbidity model shows high discrimination capacity when it correctly distinguishes patients who will develop at least one complication from patients on a normal course.

Previous papers have demonstrated that morbidity models developed in a specific intensive care unit (ICU) may not be suitable for other ICUs [ 5, 12- 14].

In defining who is at high risk of postoperative morbidities, the American Society of Anesthesiologists Physical Statuss grades III and IV and risk more than 50% estimated in the POSSUM-defined postoperative morbidity model may be useful as surrogate markers.

This part of the study supplements Part I in which different approaches for developing predictive morbidity models were reviewed in a unitary framework from a theoretical point of view.