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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Elsevier 2025-12-01
سلاسل:	MethodsX
الموضوعات:	Pharmacovigilance Adverse drug reactions (ADRs) Artificial intelligence Machine learning Clinical trial data processing deep learning Natural language processing (NLP)
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S221501612500305X
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!