An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques-Reference-Cited by-同舟云学术

An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques

Published:2021-11-14 Issue: Volume: Page:377-389
ISSN:2367-3370
Container-title:Data Engineering for Smart Systems
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Author:

Kumar Ashish,Sanjith Sivapuram Sai,Cherukuru Rajkishan,Verma Vivek Kumar,Jain Tarun,Yadav Anju

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2641-8_36

Reference37 articles.

1. Abdar M, Kalhori SRN, Sutikno T, Subroto IMI, Arji G (2015) Comparing performance of data mining algorithms in prediction heart diseases. Int J Electr Comput Eng (2088-8708) 5(6)

2. Anbarasi M, Anupriya E, Iyengar N (2010) Enhanced prediction of heart disease with feature subset selection using genetic algorithm. Int J Eng Sci Technol 2(10):5370–5376

3. Atkov OY, Gorokhova SG, Sboev AG, Generozov EV, Muraseyeva EV, Moroshkina SY, Cherniy NN (2012) Coronary heart disease diagnosis by artificial neural networks including genetic polymorphisms and clinical parameters. J Cardiol 59(2):190–194

4. Bhatla N, Jyoti K (2012) An analysis of heart disease prediction using different data mining techniques. Int J Eng 1(8):1–4

5. Cherian V, Bindu M (2017) Heart disease prediction using Naive Bayes algorithm and Laplace smoothing technique. Int J Comput Sci Trends Technol (IJCST) 5(2):68–73

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