03Jan 2023
Endometrial Cancer Individualised Scoring System (ECISS): A machine learning‐based prediction model of endometrial cancer prognosis

Endometrial Cancer Individualised Scoring System (ECISS): A machine learning‐based prediction model of endometrial cancer prognosis

Establishing a prognostic model for endometrial cancer (EC) that individualizes risk and management plans per patient and disease characteristics. Out of 1,150 women, 1,144 were eligible for a 3‐year survival analysis and 860 for a 5‐year survival analysis. Model I, II, and III accuracies of prediction of 5‐year CSS were 84.88%/85.47% (in train and test sets), 85.47%/84.88% and 87.35%/86.05%, respectively. The model I predicted 3‐year CSS at an accuracy of 91.34%/87.02%. Accuracy of models I, II and III in predicting 5‐year DFS were 74.63%/76.72%, 77.03%/76.72%, and 80.61%/77.78%, respectively. Endometrial Cancer Individualized Scoring System (ECISS) is a novel machine-learning tool assessing patient‐specific survival probability with high accuracy.

  • #gynaecology - ivf

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