Sentence examples for recognition of the entity from inspiring English sources

In our case series, ultrasound directly showed an incarcerated obturator hernia, and was evaluated as applicable and useful for the recognition of the entity.

Three consecutive cases of incarcerated obturator hernia examined preoperatively with ultrasound were presented to show the pitfalls in the application of ultrasound for the recognition of the entity.

The early recognition of the entity will consequently reduce its morbidity and mortality and also reduces the cost for CT scan and other imaging modalities.

Consequently, early recognition of the entity is crucially important because delay in diagnosis and treatment is often associated with its high mortality and morbidity.

On the other hand, the application of ultrasound for obturator hernia has been limited, but a few investigators reported that ultrasound was useful for the early recognition of the entity [9 13].

Increasing recognition of the entity and the use of endomyocardial biopsy may help us detect more cases of this "curable" form of cardiomyopathy.

The Metabolites and Enzymes corpus contains annotations for metabolites and enzymes names in almost 300 abstracts and was used for the evaluation of dictionary-based approaches for the recognition of these entity types.

The recognition of this entity is of great importance to both pathologists and clinicians because atypical cellular neurofibroma is clever at masquerading both histologically and cytologically as a sarcoma; therefore, a precise diagnosis of this variant is essential because of the differences in treatment and clinical behavior between benignancy and malignancy.

This could be a reflection of the long latency period and/or the increased recognition of this entity.

Localization of inflammatory cells around the internal elastic laminas of temporal artery biopsies was prominent from the first recognition of this entity and remains so today [ 4].

To calculate the accuracy of the recognition of the named entity, this paper used KNN and CRF.