DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at admin@iirgroups.org
Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 4 Issue 1 Date of Publication:   June 2015

Prediction of Heart Disease using Neural Network with Back Propagation

S.Radhimeenakshi,G.M.Nasira

Page(s):   19-22 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.004.001.005 Publisher:   Integrated Intelligent Research (IIR)


  1. Dr.G.M.NasiraandMrs.S.Radhimeenakshi,   "A study on prediction of Cardiovascular Victimization Data Processing Techniques",   International Journal of computer and Organization   ,Vol.9   ,Issue 1   ,2014
    View Artical

  2. Dr.G.M.Nasira and Mrs.S.Radhimeenakshi,   "Heart Failure Prediction using Particle Swarm Optimization in case of Remote Health Monitoring",   International Journal of Advanced Research in Comp   ,Vol.4   ,Issue 6   ,2014
    View Artical

  3. Dr.G.M.Nasira and Mrs.S.Radhimeenakshi,   "Particle Swarm Optimization- A review on algorithmic rule,applications and scope",   International Journal of Science and Research   ,Vol.3   ,Issue 8   ,2014
    View Artical

  4. SellappanPalaniappan, RafiahAwang,   "IntelligentHeartDiseasePrediction System Using Data Mining Technique   ,2008
    View Artical

  5. ShantakumarB.Patil, Y.S.Kumaraswamy,   "Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Net",   European Journal of Scientific Research   ,Vol.31   ,Issue 4   ,2009
    View Artical

  6. Dilip Roy Chowdhury, MridulaChatterjee R.K. Samanta,   "An Artificial Network Model for Neonatal Disease Diagnosis",   International Journal of Artificial Intelligence a   ,Vol.2   ,Issue 3   ,2011
    View Artical

  7. Milan Kumari, SunilaGodara,   "Comparative study of Data Mining Classification Methods in cardiovascular Disease Prediction",   IJCST   ,Vol.2   ,Issue 2   ,2011
    View Artical

  8. Vanisree K, JyothiSingaraju,   "Decision Support system for congenital Heart Disease Diagnosis based on signs and symptoms using Neu",   International Journal of Computer Applications   ,Vol.19   ,Issue 6   ,2011
    View Artical

  9. Niti Guru, Anil Dahiya, NavinRajpal,   "Decision support system for Heart Disease Diagnosis Using Neural Network",   Delhi Business Review   ,Vol.8   ,Issue 1   ,2007
    View Artical

  10. J.Rincipe, N.Euliano, W. Lefebvre,   "Neural and Adaptive System Fundamentals through simulations   ,2000
    View Artical

  11. Jun Shi, Ming Chui,   "Extract Knowledge from Site-sampled Data sets and Fused Hierarchical Neural Networks for detecting C",   International conference on Biomedical Engineering   ,2012
    View Artical

  12. D.Shanthi, Dr.G.Sahoo and Dr. N.Saravanan,   "Designing an Artificial Neural Network Model for the prediction of Thrombo- Embolic stroke",   International journals of Biometric and Bio- Infor   ,Vol.3   ,Issue 1   ,2011
    View Artical

  13. Khemphila, V.Boonjing,,   "Heart Disease Classification Using Neural Network and Feature Classification",   21st International Conference on Systems Engineeri   ,2011
    View Artical

  14. HarunUguz,   "A Biomedical system Based on Artificial Neural Network and Principal Component Analysis for Diagnosi",   Springer science + Business media, LLC   ,2010
    View Artical

  15. Mrs.S.Radhimeenakshi and Dr.G.M.Nasira,   "Evaluating the prediction of Heart failure towards health Monitoring using Particle Swarm Optimizati",   RJASET, Maxwell science Publication, in press
    View Artical