Analyzing multidrug resistance patterns across the food supply chain using association rule mining.

ABSTRACT: We used the machine learning method association rule mining to analyze multidrug resistance (MDR) among cattle-associated Escherichia coli along the food supply chain in the USA. All datasets were stratified by year, source, and resistance indicator (genotypic/phenotypic). Pruned rulesets were compared by calculating the proportion of rules from a comparison ruleset that are captured in a reference ruleset. Rulesets were compared across years within each source and indicator type to quantify how MDR patterns change over time. At the class level, on average nearly 50 % or more of the MDR patterns remain the same year over year for genotypic and phenotypic indicators. Rulesets were compared between data sources to quantify how MDR patterns change across the food supply chain. These compariso

SUBMITTER: Glass JC 

PROVIDER: S-EPMC12616402 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature