Sentence examples for risk for improving from inspiring English sources
The Family Healthware Impact Trial (FHITr) set out to examine the clinical utility of presenting personalized preventive messages tailored to family history risk for improving health behaviors.
Survey information from non-institutionalized adults aged 18 years and older has been used to track health conditions and risk behaviors for improving the health of the American people.
We studied the utility of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of type 1 diabetes (T1D) risk classification in TrialNet Natural History Study (TNNHS) participants.
The combined use of 8-oxoGuo and other known risk factors in a multivariate risk factor approach could be useful for improving risk stratification of diabetic patients.
Among the journal's first papers: a tiny device for measuring breast cancer risk, a strategy for improving bone marrow transplants, and a study on potential new drugs for osteoporosis.
A multivariate risk factor approach with the combined use of 8-oxoGuo and other known risk factors could therefore be useful for improving risk stratification of diabetic patients.
The presented computation model underlines the significance of different risk components, providing valuable guidance for improving risk-based ship designs.
The report emphasized that risk modelling is a valuable tool for improving risk assessment and forecast methods, but loss datasets are needed for calibrating and validating model results, in particular to infer vulnerabilities.
Zio et al. [12] proposed a risk-informed approach for improving the service level of railway networks as well as maintaining high standards of safety.
Net reclassification improvement after adding the risk score to NTproBNP for improved risk classification (mortality risk above 50% or below 50%) was 54% in the NTproBNP range 2000 8000 ng/l and 22% in the whole cohort.
Modelling long-distance dispersal is quite difficult due to strong stochasticities, but such predictive models are essential for improving risk assessment and eradication strategies.
