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If we consider the MR scanner to be a scientific instrument, it is necessary to introduce the ideas of measurement theory: experiments measurements should be able to reveal subtle 'invisible' changes and should be characterized by accuracy (closeness to truth), reproducibility and repeatability (test-retest), and precision.
The best model of this work was obtained with only two LN stochastic electrostatic potentials and it is characterized by accuracy, selectivity and specificity of 90.87%, 82.96% and 92.95%, respectively.
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The experiments show that the proposed approach generates classifiers of significantly improved interpretability, while still characterized by competitive accuracy.
The results are also compared against a three-dimensional finite element model characterized by its accuracy of fire response simulation.
A comparative analysis shows that the proposed gHFNN is characterized by higher accuracy as well as significant predictive capabilities when contrasted with other neurofuzzy models presented in the literature.
Differently, for statistical applications, four devices (double and triple technology, wim piezoelectric, inductive loops) are characterized by an accuracy with an average error lower than 10%.
The face recognition deficit in prosopagnosia is characterized by worse accuracy, longer reaction times, more dispersed gaze behavior and a strong reliance on featural processing.
As noted above, the predictions are characterized by high accuracy and low recall.
The modeling approach presented here is characterized by its accuracy (an attribute of the MC method), its generality, and its simplicity.
Using this analysis, the best LR threshold (above which spots are called present) was defined and characterized by its accuracy, sensitivity and specificity.
Moreover, a recent meta-analysis suggested that procalcitonin was characterized by higher accuracy than the CRP for the diagnosis of late-onset sepsis [ 66].
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