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. 2019 Aug 19;116(1):63–77. doi: 10.1093/cvr/cvz219

Figure 5.

Figure 5

A diagnostic test algorithm for FMD. Machine learning was used to generate diagnostic algorithms for predicting that a subject has FMD. Algorithms were exclusively generated using the discovery cohort datasets. Data shown in this figure represent the independent application of these algorithms to the validation cohort datasets. (A) Receiver operating characteristic (ROC) curve for a diagnostic algorithm for predicting FMD based only on plasma proteins (red), and also based on both the protein and lipid data (green). (B) Performance characteristics of the diagnostic test for FMD based only on protein data (as related to red line in A), when independently applied to the validation dataset. A total of 34 proteins were included in this model. (C) Performance characteristics of the diagnostic test for FMD based on the protein and lipid data (as related to green line in A), when independently applied to the validation dataset. A total of 34 proteins and all 31 lipid parameters were included in this model. Age and other demographic data did not enter into these models.