Enhancing drug-drug interaction classification by leveraging textual drug arguments.

Journal: Computers in biology and medicine
Published Date: Jun 11, 2025

Abstract

BACKGROUND: The accurate identification and classification of drug-drug interactions (DDIs) are critical for ensuring patient safety and optimizing treatment outcomes in modern healthcare. Traditional methods for DDI classification primarily focus on analyzing the chemical properties and pharmacological data of drugs.

Authors

  • Kivanc Bayraktar
    Department of Computer Engineering, Hacettepe University, Ankara, 06800, Turkey; Hemosoft IT & Training Services Inc., Ankara, 06800, Turkey. Electronic address: kivanc.bayraktar@hacettepe.edu.tr.
  • Ebru Akcapinar Sezer
    Department of Computer Engineering, Hacettepe University, Ankara, 06800, Turkey. Electronic address: ebru@hacettepe.edu.tr.
  • Begum Mutlu
    Department of Computer Engineering, Ankara University, Ankara, 06830, Turkey. Electronic address: bmbilge@ankara.edu.tr.
  • Suat Özdemir
    Department of Computer Engineering, Hacettepe University, Ankara, 06800, Turkey. Electronic address: ozdemir@cs.hacettepe.edu.tr.

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