Sentence examples for database sensitivity from inspiring English sources

We developed the algorithm on the MIT-BIH Arrhythmia Database (sensitivity of 99.82 and positive predictivity of 99.82 ) and tested it on the long-term ST database (sensitivity of 99.72 and positive predictivity of 99.37 ).

It is commonly believed that when searching a large database, sensitivity is severely lost.

8) Diabetes will be defined from the Diabetes Audit and Research in Tayside, Scotland (DARTS) database which is 97% sensitive for ascertainment of diabetes in the population [ 23]. 9) The Hearts database (sensitivity 95%) will identify those who have definite CHD (myocardial infarction or demonstrated coronary artery disease) in the Tayside population [ 24].

The 42 proteins include 7 of the 19 dystrophin-interacting proteins that are known from curated databases (sensitivity of 37% at this very high specificity level).

Benchmark studies show that the new statistical model performs at least two-orders faster than the previous non-parametric method without sacrificing database search sensitivity and specificity.

It has the drawback that the larger genome database reduces sensitivity, yet it has one significant strength: its ability to find putative protein-coding exons outside of known or predicted genic regions.

Satisfying results are obtained for both databases, the sensitivity Se and positive predictivity P+ were calculated for each case and results show Se = [96.98%, 93.76%] and P+ = [97.81%, 99.48%] for conductive fabric and PVDF film sensors, respectively, and Se = 99.77% and P+ = 99.64% in the case of the MIT/BIH Arrhythmia Database.

Databases of sensitivity to insulin can be created using retrospective data from babies that have received insulin [ 22].

In fact, we have found that a combination of TrEMBL and SWISS-PROT databases increases sensitivity when annotating weakly conserved genomes (unpublished observation).

This idea is supported by earlier literature stating that retrospective review of administrative databases lacks sensitivity (Romano et al. 2002, Curtis et al. 2004, Sherman et al. 2006) and on the other hand may include false positive entries (Romano et al. 2002, Sherman et al. 2006).

A validation study of the discharge abstract database reported a sensitivity of 90.2% and specificity of 98.2% for postpartum haemorrhage, and a sensitivity of 85.7% and specificity of 99.8% for blood transfusion.