Heart disease Prediction System Using data Mining Techniques

@inproceedings{Taneja2014HeartDP,
  title={Heart disease Prediction System Using data Mining Techniques},
  author={Abhishek Taneja},
  year={2014}
}
In today’s modern world cardiovascular disease is the most lethal one. This disease attacks a person so instantly that it hardly gets any time to get treated with. So diagnosing patients correctly on timely basis is the most challenging task for the medical fraternity. A wrong diagnosis by the hospital leads to earn a bad name and loosing reputation. At the same time treatment of the said disease is quite high and not affordable by most of the patients particularly in India. The purpose of this… CONTINUE READING
Highly Cited
This paper has 182 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

183 Citations

05010020142015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 183 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-9 of 9 references

Intelligent Heart 466 TANeJA, Orient

  • S. Palaniappan, R. Awang
  • J. Comp. Sci. & Technol.,
  • 2013

The Top Ten Causes of Death

  • WHO., Fact Sheet
  • World Health Organization. Geneva
  • 2006

Improving Hear t Disease Prediction Using Constrained Association Rules, Seminar Presentation at University of Tokyo

  • O. Carlos
  • 2004

Applied Data Mining Statistical Methods for Business and Industry

  • P. Giudici
  • 2003

Uthurusamy., Advances in Knowledge Discovery and Data Mining, (AKDDM), AAAI

  • U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth
  • 1996

Similar Papers

Loading similar papers…