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Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma.
Feng, Sijia; Wang, Jianhua; Wang, Liheng; Qiu, Qixuan; Chen, Dongdong; Su, Huo; Li, Xiaoli; Xiao, Yao; Lin, Chiayen.
Afiliação
  • Feng S; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Wang J; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Wang L; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Qiu Q; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Chen D; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Su H; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Li X; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Xiao Y; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
  • Lin C; General Surgery, Central South University Xiangya Hospital, Changsha, Hunan, China.
J Clin Transl Hepatol ; 11(5): 1184-1191, 2023 Oct 28.
Article em En | MEDLINE | ID: mdl-37577233
ABSTRACT
Hepatocellular carcinoma (HCC) is a common tumor. Although the diagnosis and treatment of HCC have made great progress, the overall prognosis remains poor. As the core component of artificial intelligence, machine learning (ML) has developed rapidly in the past decade. In particular, ML has become widely used in the medical field, and it has helped in the diagnosis and treatment of cancer. Different algorithms of ML have different roles in diagnosis, treatment, and prognosis. This article reviews recent research, explains the application of different ML models in HCC, and provides suggestions for follow-up research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Transl Hepatol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Transl Hepatol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China