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. 2019 Dec 30;27(3):396–406. doi: 10.1093/jamia/ocz204

Figure 2.

Figure 2.

Feature selection using recursive feature elimination. A random forest classifier with two-fold cross-validation was specified with other default functions of the “caret” package in R to extract features via recursive feature elimination. Variables extracted from the 30 most important features selected by the recursive feature elimination algorithm are given in Table 1.