Cardiac arrhythmia classification using self organizing MAP (SOM) - based ensemble model
Many clinical decision support systems have been using data mining techniques for prediction and diagnosis of various diseases with good accuracy. This is due to its ability to distinguish various patterns of data from its background, and make conclusions about the categories of the patterns. A l...
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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2015
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/12251/1/Cardiac%20arrhythmia%20classification%20using%20self%20organizing%20MAP%20%28SOM%29-based%20ensemble%20model%20%2824%20pages%29.pdf http://ir.unimas.my/id/eprint/12251/8/Cardiac%20arrhythmia%20classification%20using%20self%20organizing%20MAP%20%28SOM%29-based%20ensemble%20model%20%28fulltext%29.pdf http://ir.unimas.my/id/eprint/12251/ |
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http://ir.unimas.my/id/eprint/12251/1/Cardiac%20arrhythmia%20classification%20using%20self%20organizing%20MAP%20%28SOM%29-based%20ensemble%20model%20%2824%20pages%29.pdfhttp://ir.unimas.my/id/eprint/12251/8/Cardiac%20arrhythmia%20classification%20using%20self%20organizing%20MAP%20%28SOM%29-based%20ensemble%20model%20%28fulltext%29.pdf
http://ir.unimas.my/id/eprint/12251/