Document Detail


Parsing error correction of medical phrases toward semantic annotation for clinical radiology reports.
MedLine Citation:
PMID:  18998903     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
The purpose of this study is to develop a module for correcting errors in the product of a natural language parser. When tested with 300 CT reports, a total of 604 patterns were generated. The recall and precision was improved to 90.7% and 74.1% after processed by the module from initial 80.5% and 42.8% respectively. This rule-based module will help health care personnel to reduce the cost of manual tagging correction for the corpus building.
Authors:
Naoki Nishimoto; Satoshi Terae; Masahito Uesugi; Takayoshi Terashita; Takumi Tanikawa; Akira Endoh; Katsuhiko Ogasawara; Tsunetaro Sakurai
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Publication Detail:
Type:  Journal Article     Date:  2008-11-06
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  -     ISSN:  1942-597X     ISO Abbreviation:  -     Publication Date:  2008  
Date Detail:
Created Date:  2008-11-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1069     Citation Subset:  IM    
Affiliation:
Hokkaido University.
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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