Machine Learning in Population and Public Health
It highlights potential applications for improving health outcomes in communities, but is incremental as it primarily reviews and links existing fields.
This paper introduces connections between machine learning and population/public health research, aiming to engage the machine learning community in addressing health equity through synergistic opportunities.
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.