Deep learning based heart disease prediction

  • Ashwini Phalke
  • Shanta Sondur


Data mining is the process of data analyzing from
various perspectives and combining it into useful information.
This technique is used for finding heart disease. Based on risk
factor the heart diseases can be defined very easily. The main aim
of this work is to evaluate different classification techniques in
heart diagnosis. First, the ECG numeric dataset is extracted and
preprocess them. After that using extract the features that is
condition to be find to be classified by Convolution Neural
Network (NN).Compared to existing; Convolution Neural
Network provides better performance. After classification,
performance criteria including accuracy, precision, F-measure is
to be calculated. Compared to KNN, Convolution Neural
Network provides better performance. The comparison measure
expose that Convolution Neural Network is the best classifier for
the diagnosis of heart disease on the existing dataset.

Keywords: Data mining, Heart diagnosis, Convolution Neural Networks (CNN).


[1] Algorithm M.Akhil jabbar B.L Deekshatulua Priti Chandra International
“Classification of Heart Disease Using K- Nearest Neighbor and Genetic
Algorithm” Conference on Computational Intelligence: Modeling
Techniques and Applications (CIMTA)2013.
[2] Beshiba Wilson, Dr.Julia Punitha Malar Dhas “A Survey of Non-Local
Means based Filters for Image Denoising” International Journal of
[3] Chaitrali S Dangare “Improved Study Of Heart Disease Prediction
System Using Data Mining Classification Techniques”, International
Journal Of Computer Applications, Vol.47, No.10 (June2012).
[4] Amma, N.G.B “Cardio Vascular Disease Prediction System using
Genetic Algorithm”, IEEE International Conference on Computing,
Communication and Applications,2012.
[5] SayantanMukhopadhyay1,ShouvikBiswas2,AnamitraBardhanRoy3
, Nilanjan Dey4’ Wavelet Based QRS Complex Detection of ECG
Signal’ International Journal of Engineering Research and Applications
(IJERA) Vol. 2, Issue 3, MayJun 2012, pp.2361-2365
[6] Sahar H. El-Khafifand Mohamed A. ElBrawany, “Artificial Neural
Network-Based Automated ECG Signal Classifier”, 29 May2013.
[7] M.Vijayavanan, V.Rathikarani, Dr. P. Dhanalakshmi, “Automatic
Classification of ECG Signal for Heart Disease Diagnosis using
[8] I. S. Siva Rao, T. Srinivasa Rao, “Performance Identification of
Different Heart Diseases Based On Neural Network Classification”.
ISSN 0973-4562 Volume 11, Number 6 (2016) pp3859-3864.
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How to Cite
Phalke, A., & Sondur, S. (2019). Deep learning based heart disease prediction. Asian Journal For Convergence In Technology (AJCT). Retrieved from