https://www.selleckchem.com/pr....oducts/ccs-1477-cbp-
Results Across the five subsets of data, the ML-FERD screener showed extremely high areas under the receiver operating characteristic curve of 0.97-0.99. With the optimized cut-off scores, the average sensitivity and specificity of the ML-FERD screener were 0.90 (0.85-0.93) and 0.93 (0.86-1.0, respectively. Limitations The characteristics of patients were not representative, and the age was mismatched to control group. Conclusion The ML-FERD screener appears to have a better discriminative power to classify patients with sc
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