Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database.

Background: Safety issues for fluoroquinolones have been provided by regulatory agencies. This study was conducted to identify signals of fluoroquinolones reported in the Korea Adverse Event Reporting System (KAERS) using tree-based machine learning (ML) methods.

Research Design And Methods: All adverse events (AEs) associated with the target drugs reported in the KAERS from 2013 to 2017 were matched with drug label information.