Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.

ABSTRACT:

Background

There are > 80,000 chemicals in commerce with few data available describing their impacts on human health. Biomonitoring surveys, such as the NHANES (National Health and Nutrition Examination Survey), offer one route to identifying possible relationships between environmental chemicals and health impacts, but sparse data and the complexity of traditional models make it difficult to leverage effectively.

Objective

We describe a workflow to efficiently and comprehensively evaluate and prioritize chemical-health impact relationships from the NHANES biomonitoring survey studies.

Methods

Using a frequent itemset mining (FIM) approach, we identified relationships between chemicals and health biomarkers and diseases.

Results

The FIM method identified 7,848

SUBMITTER: Bell SM 

PROVIDER: S-EPMC4629746 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature