Sentence examples for usable risk from inspiring English sources

Researchers often do not consider the needs of potential users in policy and practice when conducting research and do not systematically produce directly usable risk information and, likewise, decision-makers do not always use the most appropriate available scientific information to make policy decisions.

For some (but by no means all) diseases, clinically usable risk prediction can be performed using classical risk factors such as body mass index, lipid levels, smoking status, family history and, under certain circumstances, genetics (e.g. BRCA1/2 in breast cancer).

Our aim was to systematically review the available epidemiological literature on the health effects in the vicinity of landfills and incinerators and among workers at waste processing plants to derive usable excess risk estimates for health impact assessment.

In this paper, we systematically reviewed the available epidemiological literature on health effects in the vicinity of landfills and incinerators and among workers at waste processing plants to derive usable excess risk estimates for health impact assessment.

There have been several recent studies aimed at discovering novel biomarkers and gene signatures usable for predicting risk of recurrence and response to endocrine therapy of breast cancer [ 1- 4].

It is a challenge to determine how, when and by whom climate predictions should be translated into risk estimates usable for decision-making.

If Jackson were to find the men guilty and sentence them to years in prison, he would risk providing usable material to those who take existing and binding nation to nation treaties seriously.

Although progress has been made in developing usable prediction models for risk of dialysis in CKD populations [ 16], much less progress has been made in terms of predicting other important outcomes such as CV disease and death.

In the outpatient setting, the only usable approach is the risk method proposed by Breton and Kovatchev (9), which uses SMBG data collected over a period of 2 6 weeks and some patient parameters.

A few tools entail direct measurement of specific postures and movements (e.g. [ 58, 59]), but these are generally unsuitable for use by non-experts and would rarely be usable during routine workplace risk management.

We found fairly high PPVs for shock overall, and for subtypes of shock, which makes these ICD-10 codes usable in studies of risk and prognosis based on data from the DNPR.