Sentence examples for reason for classification from inspiring English sources
Subsequent analysis of the misclassified tumors, however, shed light on the reason for classification failure.
For example, when comorbidities are the reason for classification into the no-go group and these comorbidities do not interfere with administration of AZA, improvement of haematologic condition, achievement of transfusion independence and improvement of QOL as well as relief of symptoms can be achieved with this treatment option [ 40, 46– 46].
In an exploratory analysis, poor therapy response, and especially response to prednisone was the main reason for classification of BCL2−938 CC patients into the high-risk group, although their overall outcome was not worse than the outcome of patients belonging to standard-or medium-risk groups.
They did not reconsider an executive order issued by Obama in 2009, or question the reasons for classification at a more fundamental level.
Participants then discussed their respective reasons for classification.
The main reasons for classification issues were incomplete imaging of the whole circumference and/or doubts as to the degree of extraretinal neovascularisation.
Our reason for this classification is that solid masses with a FNAB result of intermediate classification (C3, C4,) require other diagnostic procedures to minimized the underestimation.
Considering this reason for low classification accuracy of cross-experiment search, different criteria to evaluate similarity score according to platform type could improve classification accuracy of cross-experiment search.
Another reason for RF classification chosen was that it uses relatively unbiased estimates based on out-of-bag samples and the permutation of classification trees.
Another often occurring reason for imperfect classification occurs when the observation information is contradictory: for some of the attributes not any value is possible.
One frequently occurring reason for imperfect classification is when the available observations are insufficient to determine unique values for each of the attributes: a range of values may still be possible.
