Information Extraction In Medical Domain

Information extraction in the medical domain involves handling of a number of vital tasks such as identification of medical terms, identification of attributes such as negation, uncertainty, severity, identification of relationships between entities and mapping terms in the document to concepts in domain specific ontologies. The entire process depends on a number of fundamental NLP processes such as tokenization, part-of-speech tagging, and parsing. There is also a heavy dependence on domain specific resources such as medical dictionaries and ontologies such as the UMLS.