A Machine Learning Model Based on Health Records for Predicting Recurrence After Microwave Ablation of Hepatocellular Carcinoma.
Chao AnHongcai YangXiaoling YuZhi-Yu HanZhi-Gang ChengFangyi LiuJianping DouBing LiYansheng LiYichao LiJie YuPing LiangPublished in: Journal of hepatocellular carcinoma (2022)
The XGBoost model based on clinical data can effectively predict ER risk after MWA, which can contribute to surveillance, prevention, and treatment strategies for HCC.