Sentence examples for classification of tb from inspiring English sources

Looking beyond Burmic, Bodish and Newari to see how grain crop terms are distributed within the major branches of TB, we find interesting patterns which tend to support the classification of TB proposed in Bradley (2002), but which also raise many questions requiring further research.

These results prompted us to determine whether T-cell responses against M. tuberculosis antigens are sufficient for classification of TB patients and LTBI.

Improving classification of TB patients at the end of treatment may require more vigorous implementation of smear microscopy quality assurance, implementation of new tools (e.g., LED-FM), or implementation of existing but underutilized, tools (e.g., culture).

In conclusion, Bayesian analysis of the performance of three diagnostic tests (mycobacterial culture, IFNγ and Stat-Pak) showed that they all provided valuable information to allow reasonably confident classification of TB status in live badgers.

Multivariable linear regression analysis showed that age and gender were not significantly associated with wrong classification of TB subjects.

These were subjected to the detailed necropsy examination and culture protocol described in [ 6], designed to maximise the certainty associated with the classification of TB status.

The variables included: demographic (age and sex), clinical (disease classification, type of TB, site of EP-TB, pre-treatment weight) and treatment related (categorisation, treatment regimens, drug dosages, DOT provider type and location, treatment outcomes).

Proteins with low P-values were selected, and the intensities of the selected peaks were transferred to Biomarker Pattern Software (BPS, Ciphergen Biosystems) to construct the classification tree of TB.

The classification of anti-tuberculosis (TB) drugs is important as it helps the clinician to build an appropriate anti-TB regimen for multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB cases that do not fulfil the criteria for the shorter MDR-TB regimen.

The World Health Organization (WHO) has recently approved a revision of the classification of new anti-TB drugs based on current evidence on each drug.

The ICD-10 classification of deaths includes all TB deaths to persons living with HIV as AIDS-related deaths.