Research Paper Advance Articles

Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology

Construction and comparison of method performance. (A–F) ROC curve of ANN, RF, LR, XGBoost, decision tree, and SVM for target cohort in COS pre-launch models, respectively. (G–L) ROC curve of ANN, RF, LR, XGBoost, decision tree, and SVM for target cohort in hCG pre-trigger models.

Figure 2. Construction and comparison of method performance. (AF) ROC curve of ANN, RF, LR, XGBoost, decision tree, and SVM for target cohort in COS pre-launch models, respectively. (GL) ROC curve of ANN, RF, LR, XGBoost, decision tree, and SVM for target cohort in hCG pre-trigger models.