Cardiac arrhythmia classification using self organizing MAP (SOM) - based ensemble model

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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Bibliographic Details
Main Author: Dayang Yasmin, binti Abang Abdul Wahab
Format: Final Year Project Report / IMRAD
Language:English
English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2015
Subjects:
RA0421 Public health. Hygiene. Preventive Medicine
Online Access:http://ir.unimas.my/id/eprint/12251/
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

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