Drug Classification

Drug classification research focuses on accurately identifying and categorizing medications within diverse data sources, including electronic health records, clinical notes, and social media, to improve healthcare. Current efforts leverage advanced machine learning techniques, such as deep learning models (e.g., BERT, transformers, CNN-BiLSTMs) and natural language processing (NLP) methods, to extract medication information, analyze sentiment surrounding drug use, and predict treatment response. These advancements have significant implications for improving drug surveillance, personalized medicine, and clinical decision support by enabling more efficient and accurate analysis of large-scale healthcare data.