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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin Zhang Ras, Z.W. Jastreboff, P.J. Thompson, P.L. |
| Copyright Year | 2010 |
| 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. |
| Starting Page | 620 |
| Ending Page | 625 |
| File Size | 284806 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424479641 |
| DOI | 10.1109/GrC.2010.61 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Instruments tinnitus Medical treatment Ear decision support system Feature extraction knowledge discovery Decision trees action rules |
| Content Type | Text |
| Resource Type | Article |
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