Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis

Figure 2

Feature selection as performed by AutoML. (a) The important imaging findings of OS with 13 variables, ranked according to their importance, are listed; the best AUC is selected. (b) The important imaging findings of DMFS with 12 variables, ranked, are listed; the best AUC is selected. (c) The important imaging findings of LRFS with 11 variables, ranked, are listed; the best AUC is selected.

(a)

(b)

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