10 December 2021>: Clinical Research
Development and Validation of a Random Forest Risk Prediction Pneumothorax Model in Percutaneous Transthoracic Needle Biopsy
Hong Lin Wu 1ABCDEF , Gao Wu Yan 2ADF , Li Cheng Lei 3BC , Yong Du 4AD , Xiang Ke Niu 1DF , Tao Peng 1FG*DOI: 10.12659/MSM.932137
Med Sci Monit 2021; 27:e932137
Table 5 Prediction performance of models on 15 vs 7 risk factors.
Models (AUC) | Development set | Delong test P value | Verification set | Delong test P value | ||
---|---|---|---|---|---|---|
15 risk factors | 7 risk factors | 15 risk factors | 7 risk factors | |||
LR | 0.667 | 0.636 | 0.272 | 0.672 | 0.599 | 0.148 |
SVM | 0.789 | 0.698 | 0.011 | 0.813 | 0.658 | 0.012 |
DT | 0.792 | 0.789 | 0.815 | 0.825 | 0.814 | 0.632 |
RF | 0.910* | 0.921* | 0.480 | 0.921* | 0.914* | 0.849 |
* RF vs LR/SVM/DT (DeLong test, LR – logistic regression; SVM – support vector machine; DT – decision tree; RF – random forest; AUC – area under the curve. |