Rough Sets-Based Identification of Heart Valve Diseases Using Heart Sounds

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86085003" target="_blank" >RIV/61989100:27240/12:86085003 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Rough Sets-Based Identification of Heart Valve Diseases Using Heart Sounds
Original language description
Recently, heart sound signals have been used in the detection of the heart valve status and the identification of the heart valve disease. Heart sound data sets represents real life data that contains continuous and a large number of features that couldbe hardly classified by most of classification techniques. Feature reduction techniques should be applied prior applying data classifier to increase the classification accuracy results. This paper introduces the ability of rough set methodology to successfully classify heart sound diseases without the need applying feature selection. The capabilities of rough set in discrimination, feature reduction classification have proved their superior in classification of objects with very excellent accuracy results. The experimental results obtained, show that the overall classification accuracy offered by the employed rough set approach is high compared with other machine learning techniques including Support Vector Machine (SVM), Hidden Naive B
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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