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Structuralization of Digestive Endoscopic Report Based on NLP
May 27-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.842008 International Conference on BioM ...
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Ying Li, Junjie Li, Huilong Duan, Xudong Lu, "Structuralization of Digestive Endoscopic Report Based on NLP," BioMedical Engineering and Informatics, International Conference on, vol. 1, pp. 920-923, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.84,
author = {Ying Li and Junjie Li and Huilong Duan and Xudong Lu},
title = {Structuralization of Digestive Endoscopic Report Based on NLP},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {1},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {920-923},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.84},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Structuralization of Digestive Endoscopic Report Based on NLP
SN - 978-0-7695-3118-2
SP920
EP923
A1 - Ying Li,
A1 - Junjie Li,
A1 - Huilong Duan,
A1 - Xudong Lu,
PY - 2008
KW - Structuralization
KW - NLP
KW - MST
VL - 1
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
It is an inevitable transition from paper-based medical records to electronic medical records (EMR). EMR’s structuralization and standardization are important for efficient information retrieve and sharing. Presently, natural language processing (NLP) and structured data entry (SDE) are two different methods realizing EMR’s structuralizaion. Because SDE limits doctors’ free expression, this paper designs a system based on NLP and Minimal Standard Terminology (MST) that automatically maps digestive endoscopic narrative records to structured MST records and its accuracy is 92.3%.
Index Terms:
Structuralization, NLP, MST
Citation:
Ying Li, Junjie Li, Huilong Duan, Xudong Lu, "Structuralization of Digestive Endoscopic Report Based on NLP," bmei, vol. 1, pp.920-923, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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