In-home environmental exposures predicted from geospatial characteristics of the built environment and electronic health records of children with asthma.

ABSTRACT:

Purpose

Children may be exposed to numerous in-home environmental exposures (IHEE) that trigger asthma exacerbations. Spatially linking social and environmental exposures to electronic health records (EHR) can aid exposure assessment, epidemiology, and clinical treatment, but EHR data on exposures are missing for many children with asthma. To address the issue, we predicted presence of indoor asthma trigger allergens, and estimated effects of their key geospatial predictors.

Methods

Our study samples were comprised of children with asthma who provided self-reported IHEE data in EHR at a safety-net hospital in New England during 2004-2015. We used an ensemble machine learning algorithm and 86 multilevel features (e.g., individual, housing, neighborhood) to predict presence of

SUBMITTER: Bozigar M 

PROVIDER: S-EPMC11767575 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature