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. 2019 Apr 10;15:867–881. doi: 10.2147/NDT.S192307

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© 2019 Hu et al.

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Assessing reliability of constructed OPLS-DA model. The new OPLS-DA models constructed with 80% of the recruited subjects were used to predict class membership in the remaining 20% of subjects. (A and B) 6 of the 7 PSD subjects and 6 of the 7 stroke subjects were correctly predicted, yielding an accuracy of 85.7%; (C and D) 6 of the 7 PSD subjects and all 7 healthy comparison subjects were correctly classified, resulting in an accuracy of 92.8%. Abbreviations: HC, healthy comparison; OPLS-DA, orthogonal partial least-squares discriminant analysis; PSD, post-stroke depression.