在人工智能和机器学习时代预测流感流行病和流行病
Oleksandr Kamyshnyi1, Iryna Halabitska2, Valentyn Oksenych3
1Department of Microbiology, Virology, and Immunology, I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine.
Reviews in medical virology
|January 20, 2026
概括
人工智能 (AI) 和机器学习 (ML) 正在通过预测病毒演变和提高公共卫生准备,彻底改变流感预测. 这篇评论探讨了人工智能.
科学领域:
- 流行病学 流行病学
- 计算生物学 计算生物学
- 公共卫生 公共卫生
背景情况:
- 流感病毒由于其细分的RNA基因组,高突变率和动物储库,迅速演变,导致频繁的流行病和大流行病.
- 预测流感的发展轨迹对于公共卫生准备和减轻其影响至关重要.
研究的目的:
- 审查人工智能 (AI) 和机器学习 (ML) 在流感预测中的演变作用.
- 综合历史和当代关于人工智能应用的研究,用于预测病毒演变和告知公共卫生战略.
主要方法:
- 分析历史流感数据 (1890-2025) 和当前的研究.
- 检查AI/ML进步,包括变压器模型,实时数据集成,混合量子-经典算法和多式联络数据融合.
- 考虑风险修饰因素,如气象变化,冲突和宿主遗传.
主要成果:
- 人工智能/ML模型越来越复杂,可以更好地预测病毒演变.
- 多种数据流 (移动性,环境,遗传) 的整合提高了预测的准确性.
- 区分后续分析和前性,实时预测应用程序对于运营用途至关重要.
结论:
- 人工智能和机器学习正在改变流感预测,从概念验证转向实时应用.
- 这些技术提供了强大的工具,以优化公共卫生准备和决策,以应对流感威胁.
- 了解人工智能的能力和局限性是有效利用它为全球卫生安全的关键.
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