الفهرس Only 14 pages are availabe for public view
 |  | from | 134 |  |  |
| | | from | 134 | | |
Abstract
Truly, heart is successor to the brain in being the most significant vital organ in the human body. Heart, as being a magnificent pump, its performance is orchestrated via a group of valves and highly sophisticated neural control. While the kinetics of the heart is 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 sneak on the heart performance and lead to medical intervention whenever necessary. The heart sounds data set, utilized, provides researchers with abundance of sound signals that were classified using different classification algorithms. This thesis proposes two approaches; the first is based on machine intelligence; for example NBTree, Multilayer Perceptron and SVM classifiers and some feature selections in order to achieve the objective, and to increase the efficiency of the predication model. The experimental results show achieving the high accuracy by using best classifier with a suitable feature selection in a comparative study