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
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