Volume : IX, Issue : XI, November - 2019

Prediction of Test for Heart Disease Diagnosis Using Artificial Neural Network

Rakshit Bhat, Saahil Chawande, Saniya Chadda

Abstract :

Recently, several software tools and various algorithms have been proposed by the researchers for developing effective medical decision support systems. Moreover, new algorithms and new tools are continued to develop and represent day by day. Diagnosing of heart disease and predicting test for diagnosis is one of the important issues and many researchers investigated to develop intelligent medical decision support systems to improve the ability of the physicians. Such an automated system for medical diagnosis would enhance medical care and reduce costs. However, accurate diagnosis at an early stage followed by proper subsequent treatment can result in significant life–saving. Test diagnosis can be solved by classification which is one the important techniques of Data mining. Neural Network has emerged as an important tool for classification. The advantages of Neural Network help for efficient classification of given data. This research work will be the implementation of Prediction of test for heart disease diagnosis system. For diagnosis of heart disease and their tests, significantly 13 attributes will be used in the proposed system as per the medical literature. The Multi–layer Perceptron Neural Network with Back–propagation as the training algorithm will be employed. The results thus obtained will have illustrated that the designed predictive system is capable of predicting the test for of heart disease effectively. This system will act as a promising tool for diagnosis of heart disease.

Keywords :

Article: Download PDF    DOI : 10.36106/ijar  

Cite This Article:

PREDICTION OF TEST FOR HEART DISEASE DIAGNOSIS USING ARTIFICIAL NEURAL NETWORK, Rakshit Bhat, Saahil Chawande, Saniya Chadda INDIAN JOURNAL OF APPLIED RESEARCH : Volume-9 | Issue-11 | November-2019

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