Figure 5.

Performance of classifiers in predicting pregnancy complications. Receiver operating characteristic (ROC) curves for predicting a) macrosomia, b) FGR, c) GDM, and d) PE occurrences in the training, internal, and external cohorts for set‐A classifiers based on gene promoters with differential read coverages—C_MA‐A, C_FGR‐A, C_GDM‐A, and C_PE‐A; set‐P classifiers based on the promoter profiling of placenta‐specific genes—C_MA‐P, C_FGR‐P, C_GDM‐P, and C_PE‐P; set‐W classifiers based on the promoter profiling of whole blood‐specific genes—C_MA‐W, C_FGR‐W, C_GDM‐W, and C_PE‐W; and set‐PW classifiers based on the combination of placenta‐ and whole blood‐specific genes—C_MA‐PW, C_FGR‐PW, C_GDM‐PW, and C_PE‐PW. The X‐ and Y‐axes indicate classifier sensitivity and specificity, respectively.