Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways.

ABSTRACT: Prioritizing the potential risk posed to human health by chemicals requires tools that can estimate exposure from limited information. In this study, chemical structure and physicochemical properties were used to predict the probability that a chemical might be associated with any of four exposure pathways leading from sources-consumer (near-field), dietary, far-field industrial, and far-field pesticide-to the general population. The balanced accuracies of these source-based exposure pathway models range from 73 to 81%, with the error rate for identifying positive chemicals ranging from 17 to 36%. We then used exposure pathways to organize predictions from 13 different exposure models as well as other predictors of human intake rates. We created a consensus, meta-model using the Systematic

SUBMITTER: Ring CL 

PROVIDER: S-EPMC6690061 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature