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Updated: Jan 14, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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机器学习在人口和公共卫生中的应用:开发,测试和实施指南.

Andrew D Pinto1,2,3,4, Sharon Birdi1, Steve Durant1

  • 1Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada, 1 4168646060 ext 76148.

JMIR public health and surveillance
|October 24, 2025
PubMed
概括

机器学习 (ML) 为公共卫生提供了强大的工具,但可以产生有偏见的结果. 新的指导方针涉及伦理ML使用,重点关注弱势社区,透明度和风险评估,以获得公平的健康结果.

关键词:
在这里,我们可以看到AIAIAI.算法偏差是一种算法偏差.人工智能的人工智能是人工智能.准则 准则 准则卫生公平性健康公平性机器学习是机器学习.人口健康 人口健康公共卫生公共卫生.

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