Sentence examples for a principal classification from inspiring English sources

The first step of classifying patients is to determine the major diagnostic category, in which the main diagnosis and/or the interventions can be a principal classification criterion, which is to be further modified by comorbidity and age.

While in principle inpatient cases are sorted into HDGs primarily on the basis of diagnosis, which leaves hospital physicians to select treatment options freely, several treatment modalities are costly enough to be a principal classification criterion.

You will use these pasta analogies to explain the principal classification of the electromagnetic spectrum.

Qualitative analysis of the terms used to describe the maps of the two scenarios showed that chocolate (dark or milk) and type of cookie were the principal classification factors, while less or no importance was placed on energy content or uses.

To investigate structural and conformational variability we applied a principal component analysis classification to specific regions.

†Hospital classification: a, principal referral: metropolitan (>20,000 acute weighted separations per year) and rural (>16,000 acute weighted separations); b, large metropolitan (>10,000 acute weighted separations); c, private hospital; d, medium sized (metropolitan and rural 2,000 acute or acute weighted to 5,000 acute weighted separations).

The performed emotion classification test confirmed good stability of the obtained GMM scores for the two observed sentences of male and female speakers, but on the other hand, the test showed that a principal problem can occur with wrong classification.

In cases of a disagreement or uncertainty concerning the coding of a specific cause of death, classification was made by a principal investigator of the LURIC study (W.M).

The selection of classification variables was supported by a principal component analysis.

Recently, a comprehensive classification of bibliometric measures based on a principal component analysis was published [ 22].

Resolved chromatograms were integrated, resulting in a predictor matrix that was used as input to a principal component analysis to evaluate similarities between mixtures (i.e., classification).