Adverse Drug Event Detection Through Natural Language Processing: AI-Enhanced Pharmacovigilance and Post-Market Safety Surveillance

Authors

  • Yasemin Şahin Associate Professor of Electrical and Electronics Engineering, Middle East Technical University (METU)

Keywords:

adverse drug event detection, natural language processing, ai-enhanced pharmacovigilance, post-market safety surveillance, machine learning

Abstract

Pharmacovigilance has been crucial in drug development, and it has evolved over time to become instrumental in ensuring drug safety. Post-licensure, extensive efforts are made to monitor adverse effects of drugs by using varied techniques and resources.

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Published

31-12-2021

How to Cite

[1]
“Adverse Drug Event Detection Through Natural Language Processing: AI-Enhanced Pharmacovigilance and Post-Market Safety Surveillance”, Blockchain Tech. & Distributed Sys., vol. 1, no. 2, pp. 29–43, Dec. 2021, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/836