The phrase "accurate sensitivity" is correct and usable in written English.
It can be used in contexts where precision in measurement or response is being discussed, particularly in fields like psychology, medicine, or data analysis.
Example: "The test demonstrated accurate sensitivity in detecting the disease at an early stage."
Alternatives: "precise sensitivity" or "exact sensitivity".
Validation in an independent cohort reveals that the model is very accurate (sensitivity, 0.99; specificity, 1.00), and the diagnostic accuracy is maintained even in early-stage ovarian cancers.
Through several numerical examples, the developed DSA method is verified to yield very accurate sensitivity, requiring only 0.15% of CPU cost for finite difference sensitivity.
Among 76 patients with a "suspicious" FNA, FS was reasonably accurate (sensitivity 67%, specificity 100%, accuracy 89%), but was deferred in 50% of cases.
The simulation accuracy can be significantly improved with a single reimplementation of experimental data, which enables accurate sensitivity analysis on ORC waste heat recovery system performance.
Results: Among 63 patients with an FNA interpreted as either benign (n = 38) or malignant (n = 25), FNA was accurate (sensitivity 89%, specificity 97%, accuracy 94%).
Although the exact derivative assures the accurate sensitivity, it is cumbersome to take differentiation in an exact manner for every given type of finite element.
Hence, more accurate sensitivities can be obtained through mesh refinement.
We implement a Newton-based approach with accurate sensitivities to directly determine cyclic steady states with design constraints.
Though not a prospective cohort study, this was a nested case-control study which has been shown to produce accurate sensitivities and specificities since both cases and controls are selected from a cohort of patients with similar backgrounds [ 36].
Since the reconstructed trees using FastME are more accurate, the sensitivity of the top four methods at high levels of specificity are even higher compared to the sensitivity attained when NJ was used.
And the historical information on accurate elemental sensitivity numbers are used to keep the objective function converging steadily.
