Cover Image


*Dr.P. Amirtharaj, K.Rajeswari, Dr.V.Vai .


Cardiovascular Diseases (CVD) comprises of a group of diseases of the heart and vascular system. The major  conditions include Coronary Heart Disease (CHD) or Ischemic Heart Disease(IHD) which cause 25-30 percent of deaths in most industrialized countries. India is in a risk of developing more death due to CHD. Hence a Decision Support System (DSS) is proposed to identify the level of risk for classifying the Ischemic Heart Disease of a Patient. This will help the patients in taking precautionary steps like following a          balanced diet and medication which in turn may increase the life time of a patient. The features for prediction are selected after considering Indian conditions from literature and based on the Expert knowledge from Doctors. Framingham Risk score which has five attributes is used for comparison. Our proposed system will have fourteen features to be analyzed according to Indian Conditions. The system is a theoretical study which proposes implementation of Artificial Intelligence to mine the knowledge from Medical data collected.

Full Text:



REFERENCES -heart-disease-a- success/articleshow/7193581 .cms

Pedoe,H.T (1982). In Epidemiology of Diseases, D.I.. Miller and R.T.D. Farer(eds),Blackwell, Oxford

Rose,G. (1982) European Heart J.3, Suppl B.

Dewan, B.D. et al (1974),Indian heartj.,26:68

Sinha,B.C (1970). Jr. Ind. Med. Assoc,55 : 171.

Slone, D. et al(1978). N. Eng. J. Med. 298:1273

Sharper A.G. et. Al (1981). Brit. Med. J. 283:179

Bain, C. et. Al(1978). Lancet, 1:1087.

WHO (1985). Primary Prevention of CHD EURO Rep and Studio 98. Copenhagen

Keys, A. 91980). Seven Countries : a multivariate analysis of death and CHD, Harvard University Press, Cambridge, M.A

WHO(1985). Tech. Rep. Sen, 727.

Miller, (1979) Lancet, 1:111.

Jenkins, a(1974). N. Eng. J. Med., 290:1271.

Third Report of the National Cholestrol Education Program (NCEP) [2002].

Latha, P. and Subramanian, R. (2008) 'Intelligent Heart Disease Prediction System using CANFIS and Genetic Algorithm', International Journal of Biological and Medical Sciences, Vol. 3, No. 3.

Wasan, S. K., Bhatnagar, V. and Kaur, H. (2006) "The Impact of Data Mining Techniques on Medical Diagnostics', Data Science Journal, Vol. 5, pp. 119-126.

Shahina B., Ahmed, M. U. and Funk, P. (2009) 'Case-based systems in health sciences: a case study in the field of stress' WSEAS Transactions on Systems, Vol. 8, No. 3, pp. 344-354.

Simon haykin "Neural networks", Prentice Hall 2nd edition.

S.N Sivanandam, S.Sumathi, S.NDeepa "Introduction to Neural Networks using MATLAB 6.0' TataMc-GrawHill Companies.

D.E., Rumelhart, G.E. Hinton, and R. J. Williams. Learning internal representations by back-propagating errors. Nature 323:533—536, 1986 (reprinted in J. A. Anderson, and E. Rosenfeld, editors, Neurocomputing.MIT Press, Cambridge, 1988).

Abdi, H. (1994). A neural network primer. Journal of Biological Systems, 2(3), 247-283.

hthp:/ -outlook- 3045-41.html


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

An Initiative of The Tamil Nadu Dr MGR Medical University