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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Townsend, C. Jingshan Huang Dejing Dou Haishan Liu Lei He Hayes, P. Rudnick, R. Shah, H. Fell, D. Wei Liu |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Physical Therapy, University of South Alabama, USA (Fell, D.; Wei Liu) || Computer and Information Science Department, University of Oregon, USA (Dejing Dou; Haishan Liu) || School of Computer and Information Sciences, University of South Alabama, USA (Townsend, C.; Jingshan Huang; Rudnick, R.; Shah, H.) || Department of Information Technology, Armstrong Atlantic State University, USA (Lei He) || Florida Institute for Human and Machine Cognition, USA (Hayes, P.) |
| Abstract | Hemiparesis is the most common impairment after stroke, and the initial severity of hemiparesis had been the strongest predictor of neuromotor functional recovery level. However, the intervention response of stroke survivors does not always correlate with their initial level of impairment, which implies the existence of other factors that may significantly affect stroke survivors' recovery process. It is critical to consider these factors in a principled, comprehensive way so that physical rehabilitation (PR) researchers may predict which stroke survivors will respond best to therapy and, as a result, to determine if a particular type of therapy is a more optimal match. Currently, such prediction is primarily a manual process and remains a challenging task to PR researchers and clinicians. Based upon a domain-specific ontology, NeuMORE, we propose a computing framework that aims to facilitate knowledge acquisition from existing sources via semantics-enhanced data mining (SEDM) techniques. It will assist PR researchers and clinicians in better predicting stroke survivors' neuromotor functional recovery level, and will help physical therapists customize most effective intervention therapy plans for individual stroke survivors. |
| Starting Page | 821 |
| Ending Page | 822 |
| File Size | 343299 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424483037 |
| e-ISBN | 9781424483044 |
| DOI | 10.1109/BIBMW.2010.5703925 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | neuromotor functional recovery Knowledge acquisition Medical treatment data mining Ontologies Resource description framework Data mining stroke extremity dysfunction formal semantics Databases Semantics hemiparesis intervention therapy ontology |
| Content Type | Text |
| Resource Type | Article |
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