机器学习在慢性丙型肝炎诊疗中的应用

韩华; 段钟平; 王扬

doi:10.12449/JCH250121

机器学习在慢性丙型肝炎诊疗中的应用

DOI: 10.12449/JCH250121

韩华¹,
段钟平^2a,
王扬^2b, , ,

1.
华北电力大学医院内科，北京 102206
2a.
首都医科大学附属北京佑安医院肝病四科，北京 100069
2b.
首都医科大学附属北京佑安医院肿瘤内科，北京 100069

基金项目:

首都医科大学附属北京佑安医院2022年度院内中青年人才孵育项目 (BJYAYY-YN2022-08)

利益冲突声明：本文不存在任何利益冲突。

作者贡献声明：王扬负责课题设计，资料分析，拟定写作思路；韩华负责查阅文献，撰写论文，修改论文；段钟平负责指导文章撰写并最后定稿。

详细信息

通信作者:
王扬， wangyangdoc@126.com （ORCID： 0000-0002-7631-1660）

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出版历程
- 收稿日期: 2024-05-22
- 录用日期: 2024-07-05
- 出版日期: 2025-01-25

Application of machine learning in the diagnosis and treatment of chronic hepatitis C

Hua HAN¹,
Zhongping DUAN^2a,
Yang WANG^{2b
, ,
,}

1.
Department of Internal Medicine，North China Electric Power University Hospital，Beijing 102206，China
2a.
Fourth Department of Liver Diseases Beijing YouAn Hospital，Capital Medical University Beijing 100069，China
2b.
Department of Medical Oncology，Beijing YouAn Hospital，Capital Medical University，Beijing 100069，China

Research funding:

Scientific Research Project of Beijing YouAn Hospital, CCMU, 2022 (BJYAYY-YN2022-08)

More Information

Corresponding author: WANG Yang， wangyangdoc@126.com （ORCID： 0000-0002-7631-1660）

摘要

摘要: 随着人工智能技术的发展，机器学习在医疗健康领域中展现出巨大的应用潜力。机器学习通过对患者的临床特征、血液检验、影像学检查等数据进行综合分析，建立相应的数学模型，以实现对疾病的诊断、治疗及病情评估的预测，指导疾病的管理。本文结合最新的研究成果，综述了机器学习在慢性丙型肝炎中的应用情况及研究进展。
- 丙型肝炎，慢性 /
- 机器学习 /
- 诊断 /
- 治疗学
Abstract: With the development of artificial intelligence， machine learning has shown great potential in the field of medical health. Machine learning conducts a comprehensive analysis of patient data including clinical features， blood tests， and imaging examinations and establishes corresponding mathematical models to achieve the diagnosis and treatment of diseases and the prediction of disease conditions， thereby guiding disease management. With reference to the latest research findings， this article reviews the application of machine learning in chronic hepatitis C and related research advances.
- Hepatitis C， Chronic /
- Machine Learning /
- Diagnosis /
- Therapeutics

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参考文献(21)

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