This article shows how an AI assistant can reduce much of the exploratory work involved in discovering and modeling of public SDoH data. An open-source AI assistant will be highlighted that integrates several of the most widely used public data sources. The assistant can help find relevant variables, understand geographic and temporal coverage, and compare related measures across sources before building statistical, machine learning, or AI pipelines.
Image courtesy UN AI For Good Global Summit
“AI for Good: Transforming Social Determinants of Health” “AI for Good” and “Data for Good” initiatives […]
Image of city from See From the Sky
The prevalence of diabetes has been steadily increasing for the past 30 years and is growing […]
Government agencies and civil organizations collect, consolidate and publish Social Determinants of Health (SDOH) data. Public […]