利用数字时代的计算工具来加强感染控制
1Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, Rome, Italy. f.branda@unicampus.it.
BMC medical informatics and decision making
|September 12, 2024
概括
人工智能,机器学习和大数据分析为感染控制和打击抗菌素耐药性提供了创新的解决方案. 整合这些技术需要跨学科的合作和现代医疗保健的伦理数据实践.
科学领域:
- 传染病流行病学 传染病流行病学
- 计算生物学 计算生物学
- 公共卫生信息学 公共卫生信息学
背景情况:
- 传染病和抗菌素耐药性 (AMR) 构成了全球健康的重大威胁.
- 传统的感染控制方法在快速发展的医疗保健环境中面临挑战.
- 越来越多的健康数据需要先进的分析方法.
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