DocumentCode :
579456
Title :
Using Natural Language Processing and the Electronic Health Record for Appendicitis Risk Stratification
Author :
Deleger, Louise ; Brodzinski, Holly ; Zhai, Haijun ; Li, Qi ; Lingren, Todd ; Kirkendall, Eric ; Alessandrini, Evaline ; Solti, Imre
Author_Institution :
Cincinnati Children´´s Hosp. Med. Center, Cincinnati, OH, USA
fYear :
2012
fDate :
27-28 Sept. 2012
Firstpage :
32
Lastpage :
32
Abstract :
This study evaluated an automated approach for appendicitis risk stratification of pediatric Emergency Department patients using Conditional Random Fields, rules and Support Vector Machines. The results show that the approach is very promising for appendicitis risk stratification.
Keywords :
emergency services; medical information systems; natural language processing; paediatrics; risk analysis; support vector machines; automatic appendicitis risk stratification approach; conditional random fields; electronic health record; natural language processing; pediatric emergency department patients; support vector machines; Hospitals; Medical diagnostic imaging; Natural language processing; Pain; Pediatrics; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4803-4
Type :
conf
DOI :
10.1109/HISB.2012.15
Filename :
6366119
Link To Document :
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