Rough local transfer function for cardiac disorders detection using heart sounds

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86096491" target="_blank" >RIV/61989100:27240/14:86096491 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1093/jigpal/jzv009" target="_blank" >http://dx.doi.org/10.1093/jigpal/jzv009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/jigpal/jzv009" target="_blank" >10.1093/jigpal/jzv009</a>

Result language
angličtina
Original language name
Rough local transfer function for cardiac disorders detection using heart sounds
Original language description
The heart is truly successor to the brain in being the most significant vital organ in the human body. The heart, being a magnificent pump, has its performance orchestrated via a group of valves and highly sophisticated neural control. While the kineticsof the heart are accompanied by sound production, sound waves produced by the heart are reliable diagnostic tools to check heart activity. Chronologically, several data sets have been put forward to observe heart performance and lead to medical intervention whenever necessary. The heart sounds data set utilized in this article provides researchers with an abundance of sound signals classified using different classification algorithms; neural network, rotation forest and random forest are a few that canbe mentioned. This article proposes an approach based on rough sets and a local transfer function classifier for heart valve disease detection. In order to achieve this objective, and to increase the efficiency of the predication model,
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)