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Fig. 4 | World Journal of Surgical Oncology

Fig. 4

From: Impacts of ovarian preservation on the prognosis of neuroendocrine cervical carcinoma: a retrospective analysis based on machine learning

Fig. 4

Evaluation of ovarian preservation in patients ≤ 46 years old. A The significance order of variables related to DFS using the random forest model in patients ≤ 46 years old. B ROC of the established models in predicting DFS of patients ≤ 46 years old, and AUC were compared. C ROC of the LASSO model for relapse at 1, 3, and 5 years in patients ≤ 46 years old. D The forest plot of the variables related to DFS chosen by the LASSO model in patients ≤ 46 years old. E Nomogram of the LASSO model for DFS in patients ≤ 46 years old. F Calibration curve of the nomogram used for DFS in patients ≤ 46 years old based on LASSO analysis. G The proportion of relapse in higher and lower risk groups of patients ≤ 46 years old as risk scores increased. H KM curves of DFS between lower and higher risk groups classified by LASSO analysis in patients ≤ 46 years old. I KM curves of DFS between BSO and OP groups in lower and higher risk groups of patients ≤ 46 years old. J The heatmap showed the logrank test p-value of 6 important clinicopathological variable groups for OS in patients ≤ 46 years old

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