Sentence examples for more conservative classifications from inspiring English sources

The Ethnologue establishes linguistic groups based on studies of mutual intelligibility, and therefore often include more categories than more conservative classifications.

These authors used a more conservative classification for ulceration and excluded moderate to severe foot deformity.

When using the more conservative classification of PHQ-9, 6.5% (5.6-7.4 5.6-7.4 total sample were inentheied as having a "major depressive disorder" (3.8% (2.4-5.5) in total4–44 age group, N = 24; 10% (7.4-14.1) in the >75 age group, N = 37).

The subsequent exhaustive review at the one additional site identified with this more conservative classification rule improved the accuracy of the aggregate measures extracted from the register, halving the percent errors on nearly all measures and reducing the undercount of efavirenz substitutes to only one third of its previous size (from 9.7% undercount to only 3.1% undercount).

We also investigated a more conservative rule for site classification: with "high data quality" defined as 99% or more concordance between the treatment card and register and "low data quality" defined as 89% or less concordance.

We also investigated the more conservative rules for site classification, with "high data quality" defined as 99% or more concordance between the treatment card and register and "low data quality" defined as 89% or less concordance.

Conservative judges get more conservative.

The more conservative cross-validation of the linear discriminate classification yielded similar results for the mature age groups (ME 71.4%; MN 70%), but was less successful for the immature age groups (IE 54.5%; IN 44.4%).

Thus, the classification approach may be more conservative as a result of this transformation.

Ordering on the tri-level Poisson-Gamma posterior classification probabilities is slightly more conservative than using the q-value.

In order to assess the re-classification of the subjects into the diagnostic groups based on their GMV values, we used the leave-one-out classification approach, which is more conservative than the standard version because it eliminates the influence of each classified data-point on the sample to which it is compared.