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Automatic Annotation of Medical Records in Spanish with Disease, Drug and Substance Names
[chapter]
2013
Lecture Notes in Computer Science
This paper presents an annotation tool that detects entities in the biomedical domain. By enriching the lexica of the Freeling analyzer with bio-medical terms extracted from dictionaries and ontologies as SNOMED CT, the system is able to automatically detect medical terms in texts. An evaluation has been performed against a manually tagged corpus focusing on entities referring to pharmaceutical drug-names, substances and diseases. The obtained results show that a good annotation tool would help
doi:10.1007/978-3-642-41827-3_67
fatcat:6ag2gqlhjfdlbjhkgvmr5s57mm