Sentence examples for risk predict from inspiring English sources

Neurocognitive impairments in psychosis high risk predict longitudinal functioning [ 40].

It would also be useful to confirm the findings of a study [ 47] that reported that perinatal characteristics indicative of high breast cancer risk predict mammographic patterns that are associated with high breast cancer risk in adult life.

To further test whether the risk predict model was still valid when used to predict new cases, the risk score based on the same 8 risk factors was also calculated for each of 3,641 women in the 2007 sample.

Tumors with low cellularity, low mitotic count, and low Ki-67 index, which indicate low risk, predict a more favorable DFS for small intestine GIST patients undergoing curative resection.

At survey point 2 (HR=92, QT=405, Fig. 2, column 2), the physicians assessed a generally medium to high risk, halfway between the medium risk predicted by the QT nomogram and high risk predicted by Bazett's HR correction formula.

Finally, the findings on physical illness also show a gradient of risk predicted by the severity of mood elevation.

Results suggest that contextual risk predicts smaller relative increases in EC and that parenting accounts for this effect.

If this risk predicted here is confirmed by future studies, then recognition of these at-risk RA patients may have important implications for therapy.

Since then, the ESC practice guidelines recommend integrating the risk predicted using a multivariate model adapted to European populations [8] in the treatment decision [7].

The population was divided into 4 groups based on predicted risk of hospitalization: Very high risk: predicted risk of hospitalization is ≥ 50% High risk: predicted risk of hospitalization is 25-49% Moderate risk: predicted risk of hospitalization is 10-24% Low risk: predicted risk of hospitalization is < 10% 162,140 residents of the region, or 4.9% of the population, were identified as high risk.

Neither IPV type and severity nor lethality risk predicted use of mental health resources.