Application of machine learning in liver disease: improving diagnosis, treatment, and efficacy evaluation
10.3760/cma.j.cn371439-20230227-00062
- VernacularTitle:机器学习在肝脏疾病中的应用:提升诊断、治疗和疗效评估
- Author:
Fengyang CHEN
1
;
Wei ZHANG
Author Information
1. 北部战区总医院肝胆胰甲状腺外科,沈阳 110016
- Keywords:
Machine learning;
Liver disease
- From:
Journal of International Oncology
2023;50(5):310-314
- CountryChina
- Language:Chinese
-
Abstract:
Compared with traditional statistical models, machine learning in artificial intelligence has certain advantages in establishing predictive models. Currently, a large amount of research has been conducted on the application of machine learning in liver diseases. However, there is still no unified approach for selection of machine learning algorithms and steps of training different machine learning algorithms. As research progresses, predictive models based on machine learning combined with various omics have great potential in improving the diagnosis, treatment, and efficacy evaluation of liver diseases.