Sentence examples for data set for sensitivity from inspiring English sources
This method is based on a two-phase study design using an external data set for sensitivity and specificity estimates.
A variety of statistical techniques and machine learning approaches will be used to mine this complex data set for toxicity signatures with high sensitivity and specificity.
Sensitivity analysis was performed using a nonimputed data set for multiple regression modelling (see Additional file 2) for OR and 95%CI).
Docking and the GoldScore may be useful for prioritizing large data sets prior to in vitro testing with good sensitivity across the sample and entire ToxCast data set for hPXR agonists.
For TT2NE data set, the sensitivity and number of predicted pseudoknots of GM are better than those of Mfold, HotKnots, McQfold, ProbKnot, and LZ.
For PKNOTS data set, the sensitivity and PPV of the Lhw-Zhu (LZ) and PKNOTS algorithms are increased by 2% to 3% via the preprocessing of the GM method.
For the urine data set, the sensitivity and the specificity were 92.2% and 77.8%, respectively, whereas those for the serum were 73.7% and 79.2%, respectively.
To improve this, multiple models need to be tested on the same data set with considerations for sensitivity, specificity, model accuracy, and positive predictive values at the optimal risk thresholds.
Models were generated with the full (n = 20) data set and tested for sensitivity and specificity using stratified tenfold cross-validation.
For the acute renal failure data set, sensitivity increased from 0.69 to 0.89, with specificity 0.59.
