DocumentCode
2866317
Title
Automatic Clinical Question Answering Based on UMLS Relations
Author
Weiming, Wang ; Hu, Dawei ; Feng, Min ; Wenyin, Liu
Author_Institution
Wuhan Univ., Wuhan
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
495
Lastpage
498
Abstract
We propose an approach to automatic clinical question answering based on UMLS relations. Rules are defined to identify the medical concepts and their relations in the questions and documents with the help of Metamap transfer and SemRep. The phrase-level answers are generated through matching concepts and relations between question and documents. Experiment shows that our approach obtains high precision and recall.
Keywords
information retrieval; knowledge engineering; medical information systems; Metamap transfer; SemRep; UMLS relations; automatic clinical question answering; concept matching; phrase-level answers; Bridges; Computer science; Data mining; Grid computing; Information analysis; Medical treatment; Natural language processing; Text analysis; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location
Shan Xi
Print_ISBN
0-7695-3007-9
Electronic_ISBN
978-0-7695-3007-9
Type
conf
DOI
10.1109/SKG.2007.126
Filename
4438603
Link To Document