Research Article

An Efficient Combination among sMRI, CSF, Cognitive Score, and APOE ε4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine

Figure 3

Number of feature sets selected from the sequential feature selection algorithm on the top 60 ranked features obtained using the MRMR algorithm. Only the number of features versus accuracy for the combination of all feature sets using ELM classifiers is shown. (a) AD vs. HC feature subset. (b) AD vs. MCI feature subset. (c) HC vs. MCI feature subset. (d) MCIs vs. MCIc feature subset.
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