Sentence examples for risk for intervention from inspiring English sources

Therefore, diabetes screening in undiagnosed participants and early identification of those at high risk for intervention to prevent diabetes onset is very important for reducing diabetes-associated complications and medical care costs.

For intention to treat analyses with wear as outcome, we used generalized linear models with Poisson regression to estimate the relative risk for intervention arms, adjusting for baseline wear and other covariates.

Although no widely agreed thresholds for classification of patients at "high risk" exist, the QDScore could act as a basis for a systematic programme to identify patients at increased risk for intervention or to aid earlier diagnosis.

When pooled together, these interventions produced the following relative risks for intervention versus control: low birth weight 0.82 (95% confidence interval 0.71 to 0.94), preterm birth 0.82 (0.70 to 0.96), and increased mean birth weight 41 g (18 to 63 g).

After further validation, clinicians may also use such equations to inform patients about their risk for mortality and to target the most modifiable risk factors for intervention.

Table  1 presents the estimated relative risk values for intervention effects on incidence of study conditions.

However, such information is important in order to identify high risk groups for intervention.

It identifies "at risk" individuals for intervention and is a cost-effective approach to CVD prevention [ 6].

These 2 valve platforms now have achieved commercial approval and application worldwide in patients with severe aortic stenosis whose perioperative risk for surgical intervention is high or extreme.

In fact, UNCHC has accessed and analyzed huge quantities of unstructured content contained in patient medical records to extract insights and predictors of readmission risk for timely intervention, providing safer care for high-risk patients and reducing re-admissions [5].

A probabilistic framework is presented for designing and analyzing existing CA algorithms proposed in literature, enabling on-line computation of the risk for faulty intervention and consequence of different actions.