Clinical Corpus

Clinical corpora are large collections of de-identified clinical text data used to train and evaluate natural language processing (NLP) models for healthcare applications. Current research focuses on developing and improving these models, particularly using transformer-based architectures like BERT and its variants (e.g., ClinicalBERT, Longformer, BigBird), to address tasks such as medication extraction, error detection, and disease risk prediction. These advancements aim to improve the efficiency and accuracy of NLP tools for analyzing clinical notes, ultimately enhancing patient care, research, and the development of clinical decision support systems. The availability of large, high-quality clinical corpora, along with multilingual and deduplicated versions, is crucial for this progress.