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

Min-Gyo JangSangHun ChaSeunghwak KimSojung LeeKyeong Eun LeeKwang-Hee Shin
Published in: Expert opinion on drug safety (2023)
The bagging-or-RF-based ML methods performed better than DPA and detected novel AE signals previously unidentified using the DPA methods.
Keyphrases
  • machine learning
  • adverse drug
  • deep learning