摘要
本综述主要介绍机器学习在肝包虫病诊断方面的应用,包括数据集和预处理、特征提取与选择、分类器方法等方面的内容。先进的机器学习技术在协助肝包虫病的诊断、分型、临床手段、机制评价、治疗和预后评估等方面具有重要价值,在这一领域的研究对肝包虫病应该受到更多的关注和支持。同时,还将讨论当前机器学习在肝包虫病诊断中面临的挑战和限制。
This review mainly introduces the application of machine learning in the diagnosis of hepatic echi-nococcosis, including data sets and preprocessing, feature extraction and selection, classifier meth-ods, and so on. Advanced machine learning technology is of great value in assisting the diagnosis, classification, clinical methods, mechanism evaluation, treatment and prognosis evaluation of he-patic echinococcosis. More attention and support should be paid to the research in this field. At the same time, the current challenges and limitations of machine learning in the diagnosis of hepatic echinococcosis will be discussed.
出处
《临床医学进展》
2023年第7期11757-11761,共5页
Advances in Clinical Medicine
