Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Heart Disease Prediction Using Machine Learning Techniques

Author : Krishna Kumar Yadav 1 Dr.Anurag Sharma 2 Dr.Abhishek Badholi 3

Date of Publication :1st October 2020

Abstract: Heart related diseases or Cardiovascular Diseases (CVDs) are the most reason for an enormous number of deaths within the world over the previous couple of decades and has emerged because the most life-threatening disease, not only in India but within the whole world. So, there's a requirement of reliable, accurate and feasible system to diagnose such diseases in time for correct treatment. Machine Learning algorithms and techniques are applied to varied medical datasets to automate the analysis of huge and sophisticated data. Many researchers, in recent times, are using several machine learning techniques to assist the health care industry and therefore the professionals within the diagnosis of heart related diseases. This paper presents a survey of varied models supported such algorithms and techniques and analyze their performance. Models supported supervised learning algorithms like Support Vector Machines (SVM), K-Nearest Neighbour (KNN), Naïve Bayes, Decision Trees (DT), Random Forest (RF) and ensemble models are found very fashionable among the researchers.

Reference :

    1. C.BeulahChristalinLatha,S.CarolinJeeva,Improvingthea ccuracyofpredictionofheartdiseaseriskbasedonensemblecl assificationtechniques,https://doi.org/10.1016/j.imu.2019. 100203, July 2019.
    2. Avinash Golande, Pavan Kumar T, Heart Disease Prediction Using Effective Machine Learning Techniques, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue1S4, June 2019
    3. S.Nandhini, Monojit Debnath, Anurag Sharma, Pushkar. Heart Disease Prediction using Machine Learning, International Journal of Recent Engineering Research and Development (IJRERD) ISSN: 2455-8761, www.ijrerd.com Volume 03 – Issue 10,,PP. 39-46, October 2018.
    4. A.Sahaya Arthy, G. Murugeshwari “A survey on heart disease prediction using data mining techniques” (April 2018).
    5. Hamid Reza Marateb and Sobhan Goudarzi, “A noninvasive method for coronary artery diseases diagnosis using a clinically interpretable fuzzy rule-based system,” Journal of Research in Medical Sciences, Vol. 20, Issue 3, pp.214-223, March 2015.
    6. K.R. Lakshmi, M.Veera Krishna, and S.Prem Kumar, “Performance Comparison of Data Mining Techniques for Predicting of Heart Disease Survivability,” International Journal of Scientific and Research Publications, Vol.3, Issue 6, pp.1-10, June 2013.
    7. R. Sharmila, S. Chellammal, “A conceptual method to enhance the prediction of heart diseases using the data techniques”, International Journal of Computer Science and Engineering, May 2018.
    8. Purushottam, Prof. (Dr.) Kanak Saxena, Richa Sharma, “Efficient Heart Disease Prediction System”, 2016, pp.962-969.
    9. Ashwini Shetty A, Chandra Naik, “Different Data Mining Approaches for Predicting Heart Disease”, International Journal of Innovative in Science Engineering and Technology, Vol.5, May 2016, pp.277- 281. 
    10. Mr. Chala Beyene, Prof. Pooja Kamat, “Survey on Prediction and Analysis the Occurrence of Heart Disease Using Data Mining Techniques”, International Journal of Pure and Applied Mathematics, 2018.
    11. V. Krishnaiah, G. Narasimha, N. Subhash Chandra, “Heart Disease Prediction System using Data Mining Techniques and Intelligent Fuzzy Approach: A Review” IJCA 2016
    12. K.Sudhakar, Dr. M. Manimekalai “Study of Heart Disease Prediction using Data Mining”, IJARCSSE 2016.
    13. NagannaChetty, Kunwar Singh Vaisla, NagammaPatil, “An Improved Method for Disease Prediction using Fuzzy Approach”, ACCE 2015.
    14. VikasChaurasia, Saurabh Pal, “Early Prediction of Heart disease using Data mining Techniques”, Caribbean journal of Science and Technology,2013
    15. ShusakuTsumoto,” Problems with Mining Medical Data”, 0-7695- 0792-1 I00@ 2000 IEEE.
    16. Y. Alp Aslandoganet. al.,” Evidence Combination in Medical Data Mining”, Proceedings of the international conference on Information Technology: Coding and Computing (ITCC’04) 0-7695-2108-8/04©2004 IEEE
    17. Carlos Ordonez, "Improving Heart Disease Prediction Using Constrained Association Rules," Seminar Presentation at University of Tokyo, 2004.
    18. Franck Le Duff, CristianMunteanu, Marc Cuggiaa, Philippe Mabob, "Predicting Survival Causes After Out of Hospital Cardiac Arrest using Data Mining Method", Studies in health technology and informatics, Vol. 107, No. Pt 2, page no. 1256-1259, 2004
    19. Boleslaw Szymanski, Long Han, Mark Embrechts, Alexander Ross, KarstenSternickel,Lijuan Zhu, "Using Efficient Supanova Kernel For Heart Disease Diagnosis", Proc. ANNIE 06, intelligent engineering systems through artificial neural networks, vol. 16,page no. 305-310, 2006.
    20. Kiyong Noh, HeonGyu Lee, Ho-Sun Shon, Bum Ju Lee, and Keun Ho Ryu, "Associative Classification Approach for Diagnosing Cardiovascular Disease", Springer 2006,Vol:345, page no. 721- 727.
    21. Hongyu Lee, Ki Yong Noh, Keun Ho Ryu, “MiningBiosignal Data: Coronary Artery Disease Diagnosis using Linear and Nonlinear Features of HRV,” LNAI 4819: Emerging Technologies in Knowledge Discovery and Data Mining, May 2007, page no. 56-66.
    22. Niti Guru, Anil Dahiya, NavinRajpal, "Decision Support System for Heart Disease Diagnosis Using Neural Network", Delhi Business Review, Vol. 8, No. 1, January - June 2007
    23. Hai Wang et. al.,”Medical Knowledge Acquisition through Data Mining”, Proceedings of 2008 IEEEInternational Symposium on IT in Medicine and Education 978-1-4244- 2511-2/08©2008 Crown.
    24. SellappanPalaniappan, RafiahAwang, "Intelligent Heart Disease Prediction System Using Data Mining Techniques", (IJCSNS), Vol.8 No.8, August 2008.
    25. . LathaParthiban and R.Subramanian, "Intelligent Heart Disease Prediction System using CANFIS and Genetic Algorithm", International Journal of Biological, Biomedical and Medical Sciences, Vol. 3,Page No. 3, 2008. 16. Chaitrali S. Dangare, Sulabha S. Apte, Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques”, International Journal of Computer Applications (0975 888)Volume 47No.10, June 2012

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