Table 3 Accuracy summary of external validation for prediction model in clinical application scenario
From: Clinical data mining: challenges, opportunities, and recommendations for translational applications
Clinical scenarios | Model developer | Model feature | Training set | External verification set | PMID | ||
|---|---|---|---|---|---|---|---|
Optimal model accuracy (%) | Optimal model AUC | Optimal model accuracy (%) | Optimal model AUC | ||||
Predicting pathological complete response after neoadjuvant chemoradiotherapy in LARC | Wei et al | Clinical-Imaging | 99.8 | 1.0 | 86.3 | 0.872 | 36355199 |
Defeudis et al | Imaging | 83 | 0.90 | 68 | 0.61 | 35501512 | |
Bordron et al | Imaging | 90 | 0.95 | 85.5 | 0.81 | 35205826 | |
Huang et al | Clinical | 87 | 0.79 | 86 | 0.81 | 32724164 | |
Guo et al | Gene pairs | 92.86 | 0.95 | 90.91 | 0.91 | 29402470 | |