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Classification of individuals using readily available previous visit data may improve targeting of interventions to improve outcomes.
Classification of individuals by race has been a long standing controversial issue in biomedical research.
Classification of individuals (exposure or outcome status) can also be affected by changes in diagnostic procedures.
Classification of individuals into classes was reasonably definitive (entropy statistic: 0.68), but not certain.
Classification of individuals in each cluster was consistent with results based on Structure2.0 outputs of the total sample.
Classification of individuals was highly successful, with an overall 88.5% (92 out of 104 individuals) classified to the correct genotype (Table 4b).
Classification of individuals with OI has become increasingly complex, as the molecular basis of various forms of OI has been elucidated [ 19- 22].
Accurate classification of individuals with kidney disease is vital to research and public health efforts aimed at improving health outcomes.
It also includes the ways in which classification of individuals, groups, and communities influences not only investment, but also the targeting of predatory efforts against high-risk groups.
Neither can it make a classification of individuals or corporations which is purely arbitrary, and impose upon such class special burdens and liabilities.
The diagnostic accuracy of a clinical test is typically evaluated by comparing the classification of individuals by the test with their classification by some diagnostic gold standard.
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