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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
  • artificial intelligence
  • deep learning
  • electronic health record
  • radiation therapy
  • squamous cell carcinoma