Sentence examples for among classification from inspiring English sources

In particular, autoantibody determination is included among classification and/or diagnostic criteria for some autoimmune diseases [1, 2, 3, 4, 5, 6, 7, 8] and assumes a relevant predictive value in others, as autoantibodies can appear years before clinical manifestation of disease [9, 10, 11, 12, 13, 14, 15, 16, 17].

Comparison with one or more unsupervised classifications of forest community types would shed light on whether the differences among classification approaches seen in this paper apply globally, and better inform users about the most appropriate forest community type classifications for global analysis.

Estimating the model parameters (to give a maximum a posteriori solution) involves alternating among classification, bias correction, and registration steps.

Significance was calculated using a permutation approach that shuffled the observations among classification levels and recalculated the pseudo- F statistic after each permutation.

Those general patterns point to the differences among classifications in terms of their approach and objectives.

Loblolly pine forests are one of the most ubiquitous in the southeastern U.S. Therefore, examining the differences among classifications in the ways those forests are will be important for informing potential uses of the classifications in the region.

We assessed the degree to which analog classes occurred among classifications, compared indicator species values, and used random forest models to determine how well the classifications could be predicted using environmental variables.

We used the same data set of relative importance by tree species for the comparisons among classifications as well as indicator and dominant species analysis described below (see Costanza et al. 2017 for a list of all common and scientific names of tree species used here).

Little correlation appears to exist among diagnostic features; therefore there is considerable taxonomic disagreement among classifications.

These included the particularly responsive and the barely/non-responsive tumours which highly overlapped among classifications.

We analyzed all local and enlarged datasets with both programs under the same settings as in simulations A and B and evaluated the proportions of true hybrids among classifications that were discrepant between programs or datasets.