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. 2021 Dec 18;9(12):1944. doi: 10.3390/biomedicines9121944

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© 2021 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Diagnosis of amyotrophic lateral sclerosis by identified metabolites. (A) Receiver operating characteristic analysis using asymmetric dimethylarginine (ADMA), phosphatidylcholine (PC) acyl-alkyl (ae) C34:3, creatinine, methionine, PC ae C34:2, and PC acyl-acyl (aa) C42:2 by support vector machine. One-hundred-fold cross-validations were performed, and the results were averaged to generate the plot. The 95% confidence intervals are indicated as the blue shaded area. (B) Predictive accuracy of cross-validations. The average accuracy was 0.88. CI: Confidence Interval.