MedCAT -- Medical Concept Annotation Tool

Understand

Biomedical documents such as Electronic Health Records (EHRs) contain a large amount of information in an unstructured format.

• The data in EHRs is a hugely valuable resource documenting clinical narratives and decisions, but whilst the text can be easily understood by human doctors it is challenging to use in research and clinical applications.
• To uncover the potential of biomedical documents we need to extract and structure the information they contain.
• The task at hand is Named Entity Recognition and Linking (NER+L).