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They used a cut level concept for normalizing fuzzy numbers.
Wang and Elhag (2006) developed a non-linear programming solution procedure using a fuzzy TOPSIS method based on a cut level concept.
To do that, we characterized the number of modules using the approach in [ 25] employing distance 1-r and a cut level of 95%; the minimum number of probesets per module was set to 30.
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Values below a low cut level are set to black, and values higher than the high cut level are displayed as white, with grey values corresponding to intermediate values.
A cut off level of ≤ 11 was considered as poor whereas > 11 was considered as adequate knowledge about HB.
Using a cut off level of 16.3 pg/ml, IL-6 had a sensitivity of 79.2% and a specificity of 64.2% in diagnosing infection (Table 6).
Using a cut off level of 25 pg/ml, IL-6 had a sensitivity of 81.1% and a specificity of 78.9% in diagnosing sepsis/severe sepsis (Table 7).
Using a cut off level of 38 mg/l, CRP had a sensitivity of 79.7% and a specificity of 57.9% in diagnosing sepsis/severe sepsis (Table 7).
Using a cut off level of 30 mg/l, CRP had a sensitivity of 80.2% and a specificity of 62.7% in diagnosing infection (Table 6).
Recently, a cut off level of a proliferation rate of 12% (Ki-67) was proposed to indicate benign and malignant lesions [ 30].
After that, a positivity score was performed using a cut off level based on the upper limit of the 99% confidence interval of the normal controls.
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CEO of Professional Science Editing for Scientists @ prosciediting.com