We describe a first experiment on activity identification, and more in general, on the identification and extraction of computer interpreted guideline components from clinical documents, based on clinical entity recognition techniques (viz., activities, and their actors and consumed artifacts). We rely on MetaMap and the UMLS Metathesaurus to provide lexical information and study the impact of clinical document syntax and semantics on activity recognition precision.
Automated Activity Recognition in Clinical Documents
Cardillo, Elena;Eccher, Claudio;
2013-01-01
Abstract
We describe a first experiment on activity identification, and more in general, on the identification and extraction of computer interpreted guideline components from clinical documents, based on clinical entity recognition techniques (viz., activities, and their actors and consumed artifacts). We rely on MetaMap and the UMLS Metathesaurus to provide lexical information and study the impact of clinical document syntax and semantics on activity recognition precision.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
