Medical Named Entity Recognition (NER) is a specialized natural language processing (NLP) task focused on identifying and classifying specific entities within medical texts.
The primary goal of NER in the medical domain is to automatically extract and categorize relevant information, such as diseases, symptoms, medications, procedures, and other medical entities, from unstructured textual data like clinical notes, research articles, or electronic health records (EHRs).
This process is crucial for unlocking valuable insights from the vast amount of medical information available, enabling more efficient data analysis, information retrieval, and ultimately improving patient care.