Machine Learning in Population and Public Health

2020/07/21 by Vishwali Mhasawade, Yuan Zhao, Mhasawade, Vishwali +3 · 1 citation
Business, Management and Accounting · Computer Science · Medicine · Nursing · #Cardiovascular Health and Risk Factors #Computer science #Computers and Society (cs.CY) #Data science #Data-Driven Disease Surveillance #Environmental health #Equity (law) #FOS: Computer and information sciences #Global Public Health Policies and Epidemiology #Health equity #Machine Learning (cs.LG) #Medicine #Nursing #Political science #Population #Population health #Public health #Public relations #Social determinants of health #cs.CY #cs.LG

paper · pdf · doi:10.48550/arxiv.2008.07278

published in arXiv (Cornell University) (Cornell University)

arxiv created 2020/07/21 · openalex publication_date 2020/07/21 · arxiv updated 2020/08/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

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.

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