Sentence examples for applicable classification from inspiring English sources

The phrase "applicable classification" is correct and usable in written English.
It can be used when referring to a classification that is relevant or suitable for a particular context or situation.
Example: "In order to proceed with the analysis, we need to determine the applicable classification for the data set."
Alternatives: "relevant classification" or "suitable classification".

Exact(6)

A reliable applicable classification is Thomas and Kotze (1983) where the rugae length, shape, direction and unification status are considered.

The purpose of this study was to design a clinically applicable classification for distal humeral fractures that would provide guidance to the surgeon with regard to surgical approach and operative management.

The main reason for the lack of guided strategies in the therapeutic management of chronic pancreatitis is the absence of a clinically applicable classification of chronic pancreatitis.

Based on the analysis of the modern groups of bone grafts, the particularities of their composition, the mechanisms of their biological effects, and their therapeutic indications, applicable classification was proposed that separates the bone substitutes into "ordinary" and "activated".

Diversities in the classification systems continue to emerge, but current studies still lack the potential to formulate a simple, practical, and easily applicable classification system for gene expression analysis that can completely and concisely encompass all the divergent facets of breast cancer [ 20].

There are challenges with designing a practically applicable classification as variations in local expertise may have an impact on the possible solutions available, but for the purposes of defining access failure any patients with central stenosis should be classed as end stage.

Similar(54)

Thus, the criterion of anther length is not applicable to classification of Australian wild rice based upon life history traits.

This algorithm is applicable to classification of large number of areas and identification of irregularly shaped clusters.

Fan et al. [5] proposed Random Decision Trees which are applicable for classification and regression to partition the rating matrix and build ensemble.

However, these studies were limited by sample size or sample selection, thus clinically applicable diagnostic classification models either have not been reported or have not been independently validated, particularly for the MFH, NOS, and pleomorphic subtypes [12], [13].

c NA = not applicable since classification susceptible or resistant was done according to beta-lactamase production.

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