Medical Named Entity Recognition

Medical Named Entity Recognition (MNER) is a crucial subfield of Natural Language Processing (NLP) that focuses on identifying and extracting named entities from medical texts, such as diseases, symptoms, medications, and medical procedures. Its aim is to enhance the structuring of medical documents through automated means, supporting clinical decision-making, disease diagnosis, and patient management, thereby improving the level of medical informatics and the efficiency of healthcare services.