Analysis for Heart Related Issues using comprehensive Approaches: A Review

Authors

  • Nirmala K Amity University Noida, DRDO New Delhi, Amity University Noida
  • RM Singh Amity University Noida, DRDO New Delhi, Amity University Noida
  • Gupta S Amity University Noida, DRDO New Delhi, Amity University Noida

Keywords:

Data Mining, Big Data, ECG, Machine Learning

Abstract

Nowadays the heart problems are like one of the common things that are happening throughout the world. There are various reasons that lead to heart diseases problems, and the most common among is the change in lifestyle. For doctors it becomes quite tedious task to identify and rectify disease as there are thousands of symptoms that are held responsible for it. Comprehensive study of various machine learning approaches like various supervised and unsupervised algorithm like neural network, Genetic algorithm as well as Data mining approaches are covered in this paper which are helpful in early prediction of heart diseases so that many lives could be saved. Other approaches are also discussed in this paper that help in early prediction of heart disease e.g. with the help of speech analysis and also with the help of Big Data.

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Published

2015-03-31

How to Cite

[1]
K. Nirmala, R. Singh, and S. Gupta, “Analysis for Heart Related Issues using comprehensive Approaches: A Review”, Int. J. Comp. Sci. Eng., vol. 3, no. 3, pp. 184–187, Mar. 2015.

Issue

Vol. 3 No. 3 (2015): IJCSE March Edition

Section

Review Article

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