Association Discovery Approach in Healthcare Big Data to Identify Drug Safety and Drug Repurposing Signals.

ABSTRACT: Data science approaches have been increasingly implemented in healthcare big data to evaluate the safety and effectiveness of drugs. Association discovery is a data mining approach that finds potentially associated elements in high-dimensional data. We present a novel implementation of the association discovery approach in longitudinal healthcare data to identify drug safety and drug repurposing signals from positive and inverse associations between drug use and clinical outcomes, respectively. We used the 10% sample data from the Australian Pharmaceutical Benefits Scheme (2014-2024), which comprises prescription claims records. Using the Magnum Opus association discovery tool, we identified associations between a wide range of drugs and three common chronic medical conditions (i.e., coron

SUBMITTER: Tan GSQ 

PROVIDER: S-EPMC12746522 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature