Sentence examples for narrow classification from inspiring English sources

No significant association was observed between rescue analgesic use and female sex or wrist surgery in the surgical site category and other bone surgery category in the narrow classification of surgical procedures (Table 3).

However, a significant association was observed between rescue analgesic use and duration of surgical procedure and a few procedures in the narrow classification of surgical procedures, osteotomy, ligament repair and reconstruction, osteosynthesis, and treatment for an amputated digit.

When those with clinically significant results were compared with those included in a narrow classification of uncertain results (ie, only 'clear' uncertain results in this classification), we found a marginal increase in the recommendation rate (RRnarrow=1.12; 95% CI (1.02 1.24)).

This allows for a more narrowed classification process, less errors in the training phase of the NN, and reduction in computational effort.

We used a narrower classification scale of 90% to 105% in order to reduce this problem, as suggested by Mason, Matsuyama and Jue [ 6].

Of the nine different linkage and affection status models that were tested only the parametric dominant model, under a narrow diagnose classification (ASM1), exhibited a significant CNV-weighted linkage score after a 1000-fold simulanalysisalysincludinging correction for multiple comparisons, with empirical P = 0.033 (Fig.  2).

The unusually low felt intensities, along with the short period body wave magnitudes, were components of the event that narrowed its classification into that of a tsunami earthquake.

The prevalence of hyperkinetic disorder (HKD) in children and young people (5 16 years), defined by the narrower International Classification of Disease 10th Revision (ICD-10) criteria is estimated at 1.5% [ 2].

Humboldt saw them not through the narrow categories of classification but as types according to their location and climate.

Further, random promoter sets for each of the promoter classification (narrow, broad with peak and broad without peak) were generated by shuffling the core promoter sequences.

Thus, this approach may yield feature engineering that is only applicable to a narrow range of text classification tasks.