TY - GEN
T1 - Process fragment recognition in clinical documents
AU - Thorne, Camilo
AU - Cardillo, Elena
AU - Eccher, Claudio
AU - Montali, Marco
AU - Calvanese, Diego
PY - 2013
Y1 - 2013
N2 - 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 precision of activity and temporal relation recognition.
AB - 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 precision of activity and temporal relation recognition.
KW - Clinical entity and relation recognition
KW - Natural language processing
KW - Process fragment recognition
KW - UMLS Metathesaurus
UR - http://www.scopus.com/inward/record.url?scp=84892764921&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-03524-6_20
DO - 10.1007/978-3-319-03524-6_20
M3 - Contribución a la conferencia
AN - SCOPUS:84892764921
SN - 9783319035239
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 227
EP - 238
BT - AI*IA 2013
T2 - 13th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2013
Y2 - 4 December 2013 through 6 December 2013
ER -