Title :
Semantic Tagging for Medical Knowledge Tracking
Author :
Jang, Hyeju ; Song, Sa Kwang ; Myaeng, Sung Hyon
Author_Institution :
Dept. of Comput. Sci., Inf. & Commun. Univ., Daejeon
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
We propose a semantic tagger that provides high level concept information for phrases in clinical documents, which enriches medical information tracking system that support decision making or quality assurance of medical treatment. In this paper, we have tried to deal with patient records written by doctors rather than well-formed documents such as Medline abstracts. In addition, annotating clinical text on phrases semantically rather than syntactically has been attempted, which are at higher level granularity than words that have been the target for most tagging work
Keywords :
decision making; document handling; information retrieval; medical computing; medical information systems; semantic networks; clinical documents; clinical text; decision making; high-level concept information; medical information tracking system; medical knowledge tracking; quality assurance; semantic tagging; Abstracts; Cities and towns; Computer science; Decision making; Diseases; Hidden Markov models; Medical treatment; Quality assurance; Tagging; USA Councils;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260154