As a consequence, the quantitative scientist's role can be focused on defining the sensibility of alternative contexts of data generation.
Model and algorithm parameters have been adjusted and sensibility of the solution to the data has been considered in these tests.
It is this final step that ultimately determines the sensibility of the data analysis procedures triggered by the acquisition of data.
We conducted several Monte Carlo simulations first on synthetic data and then on resampled real data to assess the sensibility of our method to block size and signal-to-noise ratio.
Three studies reported testing sensibility but data were not presented [ 16, 86, 87].
This is due to the particular nature of the Helmholtz operator and the sensibility of the solution to small variations of the data.
Results: From the comparison of the otomicroscopic data in relation to the histologic findings, we could observe sensibility of 80% and specificity of 75% for the otomicroscopy.
A specific feature extraction and selection algorithm was developed and validated on our spectral data for classifying hypertrophic and non-hypertrophic tissues, giving a sensibility of 90.5% and a specificity of 94.4%.
Fortunately, we have a way of testing the sensibility of the scoring scheme with germline polymorphism data a piece of information not used in the derivation.
In practice, most of the achieved data compression is provided by the quantization module, which efficiently exploits the reduced sensibility of the human visual system to higher frequency contents, by adaptively coding the obtained transform coefficients.
The experimental measurements of the data frames have been done by a digital oscillocope with a timebase of 50 μ s, a sensibility of 2 Volts-per-Division and a sample rate /channel of 2 MegaSAmples per second (MSA/s).
