Process Fragment Recognition in Clinical Documents [chapter]

Camilo Thorne, Elena Cardillo, Claudio Eccher, Marco Montali, Diego Calvanese
2013 Lecture Notes in Computer Science  
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
more » ... sion of activity and temporal relation recognition.
doi:10.1007/978-3-319-03524-6_20 fatcat:z3jg6vlrtnhpzbugh5xtsmtauq