Review on Heart Diseases Prediction on ANN
DOI:
https://doi.org/10.53555/nncse.v3i11.403Keywords:
artificial neural networks, symptomsAbstract
Neural network (ANN) tool has been used for solving many decision modeling problems. A multilayer perception is a feed forward ANN model that is used extensively for the solution of heart diseases problems. An ANN is the same as human brain. This is a non-linear classification monitoring learning technique used for coronary heart disease is the biggest epidemic the world is at risk of coronary heart disease. Most doctor's diagnosis is made by clinical expertise and patients were asked to take someone. Diagnostic testing. But all the tests will not contribute to diagnosis of the disease effectively. Feature subset selection, dimensionality used to remove irrelevant data to reduce a preprocessing step. In this paper we have a classification approach to the classification of heart disease ANN uses features from subset selection. Properties which indirectly reduces. Diagnostic tests which need to be taken by the patient. We applied our approach to heart disease data base. Our experimental results show that the accuracy improves with conventional classification techniques. This system is possible and for faster and more accurate diagnosis of heart disease.
References
https://en.wikipedia.org/wiki/Lists_of_diseases
https://en.wikipedia.org/wiki/Cardiovascular_disease#Types
Niti Guru, Anil Dahiya, NavinRajpal, "Decision Support System for Heart Disease Diagnosis Using Neural Network", Delhi Business Review, Vol. 8, No. 1 (January - June 2007)
K. Cinetha, Dr. P. Uma Maheswarion Heart Disease Diagnosis and Prediction using Naive Bayes inData MiningK. Cinethaet al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.2, February- 2014
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Techniques" IJCSNS International Journal of Computer Science and Network Security, Vol.8 No.8, August 2008
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