论文标题
人口和公共卫生的机器学习
Machine Learning in Population and Public Health
论文作者
论文摘要
人口和公共卫生的研究重点介绍了不同文化，社会和环境因素之间的机制及其对健康的影响，不仅是个人，而且是整个社区。我们在这里介绍了这些领域的研究的简短介绍，以及与现有机器学习工作的联系，以帮助激活机器学习社区的此类主题，并突出机器学习，公共和人口健康可能协同以更好地实现健康公平的特定机会。
Research in population and public health focuses on the mechanisms between different cultural, social, and environmental factors and their effect on the health, of not just individuals, but communities as a whole. We present here a very brief introduction into research in these fields, as well as connections to existing machine learning work to help activate the machine learning community on such topics and highlight specific opportunities where machine learning, public and population health may synergize to better achieve health equity.
