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Various techniques have been used to obtain the most accurate threshold value, such as k-means cluster analysis used by Porter and Wildenschild (2010); local thresholding criteria based on indicator kriging mentioned in Prodanović et al. (2007); and the Otsu method used by Otsu (1979).
This demonstrates that a K2P value of 1.5 provides the most accurate threshold value to determine the specific identity of unknown samples.
Furthermore, the most accurate threshold of RI in clinical practice is still debated [ 12, 13].
In order to define the most accurate threshold, we draw receiver operating characteristic (ROC) curves.
Consistently with the first findings of Sugiura et al. [ 12], we found that 0.65 was the most accurate threshold to detect extent interstitial fibrosis, but also severe arteriosclerosis.
11 This procedure 11 was carried out for selecting the most accurate threshold value to be input into the software, ie, the minimum size value that best fits with average clinical scorings of S P, from 0 (absent) to 6 (extreme presence).
Similar(54)
Baseline cortisol ≤ 23.6 μg/dl was the most accurate diagnostic threshold to determine norepinephrine removal according to the receiver operating characteristic curve.
When such a library is unavailable, it is still possible to obtain a fairly accurate (within ~10%) rapid assessment of species richness based upon a barcode divergence threshold alone, but this approach is most accurate when the threshold is tuned to a particular taxon.
The most accurate discriminatory NLCR thresholds were 7.7 (sensitivity = 0.71, specificity = 0.61) for overall mortality, 5.3 (sensitivity = 0.78, specificity = 0.55) for early death, and an increase of 18%% in the NLCR for late death (see Additional file 2: Table S2).
A composite band ratio index exploiting the Modified Normalised Difference Water Index (MNDWI) and Normalised Difference Moisture Index (NDMI) with fixed thresholds provided the most accurate detection of flooded areas out of six commonly used band ratio indices.
The resulting cut height selected represents the dissimilarity threshold which produces the most accurate clustering results against the ground truth data according to the Rand index score.
Related(20)
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