A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Process Fragment Recognition in Clinical Documents
[chapter]
2013
Lecture Notes in Computer Science
Preserved Fulltext
We describe a first experiment on automated activity and relation identification, and more in general, on the automated identification and extraction of computer-interpretable guideline fragments from clinical documents. We rely on clinical entity and relation (activities, actors, artifacts and their relations) recognition techniques and use MetaMap and the UMLS Metathesaurus to provide lexical information. In particular, we study the impact of clinical document syntax and semantics on the
doi:10.1007/978-3-319-03524-6_20
fatcat:z3jg6vlrtnhpzbugh5xtsmtauq