DocumentCode :
2144252
Title :
From Tinnitus Data to Action Rules and Tinnitus Treatment
Author :
Zhang, Xin ; Ras, Zbigniew W. ; Jastreboff, Pawel J. ; Thompson, Pamela L.
Author_Institution :
Dept. of Math. & Comput. Sci., Univ. of North Carolina, Pembroke, NC, USA
fYear :
2010
fDate :
14-16 Aug. 2010
Firstpage :
620
Lastpage :
625
Abstract :
Medical records contain feature values on specific dates, which brings very unstable sampling rate. Therefore popular temporal features, which have been successfully applied to sound data, failed to fully describe the vita behaviors of features and factors of patient and treatment. The authors developed a flexible temporal feature retrieval system based on grouping of similar visiting patterns with connection to an action-rules engine and observed interesting and useful results about how the changes of treatment factors affects the changes of recover.
Keywords :
decision trees; feature extraction; information retrieval; medical information systems; patient treatment; pattern classification; action rule engine; decision tree; flexible temporal feature retrieval system; tinnitus data; tinnitus treatment; Databases; Decision trees; Ear; Feature extraction; Instruments; Medical treatment; action rules; decision support system; knowledge discovery; tinnitus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
Type :
conf
DOI :
10.1109/GrC.2010.61
Filename :
5576015
Link To Document :
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