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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP

In the healthcare industry, the ever-increasing volume of clinical trial data presents challenges for ensuring drug safety and detecting adverse drug reactions (ADRs). This study aims to address the challenge of accurately detecting Serious Adverse Events (SAEs) in pharmacovigilance, a critical comp...

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Furkejuvvon:
Váldodahkkit: Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Elsevier 2025-12-01
Ráidu:MethodsX
Fáttát:
Pharmacovigilance
Adverse drug reactions (ADRs)
Artificial intelligence
Machine learning
Clinical trial data processing deep learning
Natural language processing (NLP)
Liŋkkat:http://www.sciencedirect.com/science/article/pii/S221501612500305X
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