An Image Processing Based Cardiovascular Disease Detection System using Feature Based Classification |
Author(s): |
Chavda Bhumi Ishwarsinh , Silver oak College of Engineering and Technology; Vimal H. Nayak, Silver oak College of Engineering and Technology |
Keywords: |
Cardiovascular disease, ECG, Fuzzy logic, Neural networks |
Abstract |
The diagnosis of heart disease which depends in most cases on complex grouping of clinical and pathological data. Cardiovascular disease is the principal source of deaths widespread and the prediction of Heart Disease is significant at an untimely phase. In order to reduce number of deaths from heart diseases there has to be a quick and efficient detection technique. This work presents a comprehensive review for the prediction of cardiovascular disease by using machine learning based approached instead of matching learning you write feature based classification. The aim of this study is compare different algorithm destined to ECG signal. |
Other Details |
Paper ID: IJSRDV5I90086 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 76-79 |
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