Data Mining Approaches for Assessing Chemical Coexposures Using Consumer Product Purchase Data.

ABSTRACT: The use of consumer products presents a potential for chemical exposures to humans. Toxicity testing and exposure models are routinely employed to estimate risks from their use; however, a key challenge is the sparseness of information concerning who uses products and which products are used contemporaneously. Our goal was to demonstrate a method to infer use patterns by way of purchase data. We examined purchase patterns for three types of personal care products (cosmetics, hair care, and skin care) and two household care products (household cleaners and laundry supplies) using data from 60,000 households collected over a one-year period in 2012. The market basket analysis methodology frequent itemset mining (FIM) was used to identify co-occurring sets of product purchases for all househo

SUBMITTER: Tornero-Velez R 

PROVIDER: S-EPMC8734486 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature