机器学习在临床微生物学和传染病中的应用
Cheng Xu1, Ling-Yun Zhao2, Cun-Si Ye3
1Clinical Laboratory of Chun'an First People's Hospital, Zhejiang Provincial People's Hospital Chun'an Branch, Hangzhou Medical College Affiliated Chun'an Hospital, Hangzhou, Zhejiang, China.
Frontiers in cellular and infection microbiology
|May 16, 2025
概括
人工智能 (AI),特别是机器学习,正在彻底改变传染病管理. 这项技术有助于临床微生物学,预测抗生素耐药性并改善患者的预后.
科学领域:
- 计算机科学 计算机科学
- 统计 统计 统计 统计
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 越来越多地应用于医学,机器学习 (ML) 对各种领域做出了重大贡献.
- 在临床微生物学中,ML在治疗传染病方面表现特别有前途.
研究的目的:
- 为非专家受众解释核心机器学习概念.
- 审查目前临床微生物学和传染病的ML应用.
- 引导临床医生评估基于ML的研究.
主要方法:
- 该审查涵盖了监督和无监督的学习方法.
- 讨论的关键算法包括分类,回归,聚类和维度减少.
主要成果:
- 机器学习在病因诊断和预测抗生素耐药性方面起着重要作用.
- ML有助于理解微生物组与宿主疾病的关联和预后.
- 应用范围扩展到传染病预防和控制.
结论:
- 机器学习为推进临床微生物学和传染病研究提供了强大的工具.
- 对临床医生来说,了解ML原则对于批判性地评估和利用研究结果至关重要.
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