International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation Symbiosis of Neuro Fuzzy System and Genetic Algorithm in the Diagnosis of Cardiovascular Disease: A Review, Authors : Prof. Amarja Adgaonkar, Prof Anil Chaturvedi and Ms. Priyanka Bhelonde , International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 12, December 2014

Title:
Symbiosis of Neuro Fuzzy System and Genetic Algorithm in the Diagnosis of Cardiovascular Disease: A Review
Author Name:
Prof. Amarja Adgaonkar, Prof Anil Chaturvedi and Ms. Priyanka Bhelonde
Abstract:
ABSTRACT Cardiovascular disease is the disease related to heart, arteries etc. Data related to various human parameters like blood pressure, age, cholesterol, obesity etc. can be analysed by effective application of Data Mining techniques. Data mining is a technique of analysing large databases to find out various useful patterns. Application of data mining techniques will be very much helpful to not only to the medical professionals but also to an individual in the prediction of cardiovascular diseases because of its accuracy and reduction in cost. In this work we will apply Neuro-Fuzzy System to the available data for prediction of the cardiovascular disease and training will be done using back propagation algorithm and the weight optimization will be done by Genetic Algorithm. The neuro-fuzzy model combines the neural network adaptive capabilities and the fuzzy logic reasoning approach for prediction of cardiovascular disease. The proposed system is going to produce an intelligent system with good accuracy. Keywords:- Data Mining, Neuro-Fuzzy System, Genetic Algorithm, Back-propagation
Cite this article:
Prof. Amarja Adgaonkar, Prof Anil Chaturvedi and Ms. Priyanka Bhelonde , " Symbiosis of Neuro Fuzzy System and Genetic Algorithm in the Diagnosis of Cardiovascular Disease: A Review " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 12, December 2014 , pp. 094-098 , ISSN 2319 - 4847.
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