Machine Learning to Predict the Response to Lenvatinib Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma.

Jun MaZhiyuan BoZhengxiao ZhaoJinhuan YangYan YangHaoqi LiYi YangJingxian WangQing SuJuejin WangKaiyu ChenZhengping YuYi WangGang Chen

Published in: Cancers (2023)

A new predictive model based on clinical data was developed using ML algorithms, which showed favorable performance in predicting the response to lenvatinib combined with TACE for unresectable HCC. Combining ML with SHAP could provide an explicit explanation of the efficacy prediction.

Keyphrases

machine learning
liver metastases
big data
locally advanced
radiofrequency ablation
deep learning
electronic health record
rectal cancer
data analysis