Mortality

Identifying place-specific mortality mechanisms by integrating cause-of-death narratives and neighborhood typologies using machine learning
This study integrates cause-of-death narratives with neighborhood typologies using unsupervised ML and NLP to identify place-specific mortality mechanisms across Cook County, Illinois census tracts.
2026-11-02 09:15 — 09:30 Washington, DC
Identifying place-specific mortality mechanisms by integrating cause-of-death narratives and neighborhood typologies using machine learning
Living Here Predicts How You Will Die: Neighborhood Context and Mortality Patterns
Abstract Understanding how neighborhood context shapes patterns of death is critical to identifying the spatial distribution of health inequities. Medical examiner data contain rich narrative descriptions of causes and circumstances of death that are often absent from clinical records and can offer novel insights for public health prevention.
2026-02-04 00:00
Living Here Predicts How You Will Die: Neighborhood Context and Mortality Patterns