Sentence examples for risk profiling tools from inspiring English sources

Current applications range from surveillance technologies, to datamining and risk profiling tools, to data visualization and graphing programs.

Individualised care programmes for patients at high risk of hospitalisation have been effective at reducing health costs in countries including Sweden, Germany, America and the UK [ 1, 8, 18, 32] and incorporating risk profiling tools into UK-based systems has proved unproblematic [ 18].

With emerging evidence to support preoperative interventions to reduce infections in individuals colonised with S. aureus [ 9, 41], the development of robust risk profiling tools to identify carriers of both methicillin-sensitive as well as methicillin-resistant S. aureus would be an important focus for future research.

While consumers can and do make irrational decisions in this role, they have the option of being guided by sophisticated, easy-to-use programs (e.g., risk profiling tools that map to fund allocations and automated age-based asset rebalancing, etc)., that narrow the knowledge gap between the consumer and an investment professional.

Several risk profile tools have been evaluated to predict diagnosis of asthma by school-age [ 94].

Genetic risk profiling might provide a tool for individualised risk stratification and for personalised immunosuppressive treatment after lung transplantation.

Risk profiling of farms provides a tool for designing targeted surveillance activities for endemic or emerging diseases, regardless of the prior amount of information available on biosecurity at farm level.

The integrated application of clinical and transcriptomic markers (clinico-transcriptomic analyses) improves the prognostic performance in trauma patients and may represent a useful tool for individual risk profiling and stratification.

This risk profiling requires consistent application of a valid, reliable fall risk assessment tool that identifies patients at risk.

3, strategic mine planning is implemented using an in-house mine planning tool and the risk profiles associated with that mine plan are constructed using simulations.

We conclude that profile regression is a powerful tool for identifying risk profiles that express the joint effect of etiologically relevant variables in multifactorial diseases.