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The effect of accounting missing data on classification. In addition to the feature selection of an incomplete Multi-Source Feature (iMSF) learning method, the incomplete Source Feature Section (iSFS) model accounts for missing data. From Xiang et al [416]. Abbreviations: AUC, area under the curve; AD, Alzheimer’s disease; NC, normal control; MCI, mild cognitive impairment.
