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Combining HLA and 57 non-HLA variants improved the classification of 11% of individuals to more accurate categories.
As to a potential lack of specificity of ICF categories, it needs to be emphasized that the ICF taxonomy aims at providing a universally applicable standard for reporting health and functioning information rather than at offering accurate categories for reporting specific aspects of particular disciplines, contexts or health conditions.
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We observed a high degree of accurate category-specific reactivation during the delay interval.
However, demonstration of the relationship of albuminuria to the distinct and accurate category of all-cause natural death is clear.
Recent advances in diagnostics have helped stratify patients into more accurate risk categories.
Scholarships are awarded through a lottery that prioritizes certain families based on income; but due to administrative failings, the GAO reports, the "Trust's ability to provide accurate priority categories" is questionable.
Ascertainment of accurate exposure categories such as IDU and MSM may not be elicited during follow-up due to social desirability bias.
Longitudinal or natural history studies provide data to allow more accurate risk categories to be assigned to single screening results, so that individual patients can be triaged appropriately.
Adding non-HLA variants to the HLA prediction improved not only the discriminatory power as assessed by the ROC curves, but also the reclassification of individuals into more accurate risk categories with the increase in NRI and IDI.
Thus, including non-HLA risk factors suggests that we can reclassify 14.6% of the population into more accurate risk categories, which might help to make a better selection of those who need closer follow-up and repetitive antibody testing.
This means that 26 out of 35 patients were correctly classified into the accurate diagnostic category after taking into account the probability of randomness (see Fig. 4).
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