Cargando…
Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
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 w...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
XIA & HE Publishing Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412715/ https://www.ncbi.nlm.nih.gov/pubmed/37577233 http://dx.doi.org/10.14218/JCTH.2022.00077S |
_version_ | 1785086974488477696 |
---|---|
author | Feng, Sijia Wang, Jianhua Wang, Liheng Qiu, Qixuan Chen, Dongdong Su, Huo Li, Xiaoli Xiao, Yao Lin, Chiayen |
author_facet | Feng, Sijia Wang, Jianhua Wang, Liheng Qiu, Qixuan Chen, Dongdong Su, Huo Li, Xiaoli Xiao, Yao Lin, Chiayen |
author_sort | Feng, Sijia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10412715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | XIA & HE Publishing Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104127152023-08-11 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 J Clin Transl Hepatol Review Article 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. XIA & HE Publishing Inc. 2023-10-28 2023-05-17 /pmc/articles/PMC10412715/ /pubmed/37577233 http://dx.doi.org/10.14218/JCTH.2022.00077S Text en © 2023 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Feng, Sijia Wang, Jianhua Wang, Liheng Qiu, Qixuan Chen, Dongdong Su, Huo Li, Xiaoli Xiao, Yao Lin, Chiayen Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma |
title | Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma |
title_full | Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma |
title_fullStr | Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma |
title_full_unstemmed | Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma |
title_short | Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma |
title_sort | current status and analysis of machine learning in hepatocellular carcinoma |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412715/ https://www.ncbi.nlm.nih.gov/pubmed/37577233 http://dx.doi.org/10.14218/JCTH.2022.00077S |
work_keys_str_mv | AT fengsijia currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT wangjianhua currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT wangliheng currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT qiuqixuan currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT chendongdong currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT suhuo currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT lixiaoli currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT xiaoyao currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma AT linchiayen currentstatusandanalysisofmachinelearninginhepatocellularcarcinoma |