Research Paper | Computer Science & Engineering | Chad | Volume 5 Issue 5, May 2016
Comparative Study of Data Mining Techniques on Heart Disease Prediction System: a case study for the ?Republic of Chad?
Alladoumbaye Ngueilbaye, Lin Lei, Hongzhi Wang
Nowadays, the healthcare sector is one of the areas where huge data are daily generated. However, most of the generated data are not properly exploited. Important encapsulated data are currently in the data sets. Therefore, the encapsulated data can be analyzed and put into useful data. Data mining is a very challenging task for the researchers to make diseases prediction from the huge medical databases. To succeed in dealing with this issue, researchers apply data mining techniques such as classification, clustering, association rules and so on. The main objective of this research is to predict heart diseases by the use of classification algorithms namely Nave Bayes and Support Vector Machine in order to compare them on the basis of the performance factors i.e. probabilities and classification accuracy. In this paper, we also developed a computer-based clinical Decision support system that can assist medical professionals to predict heart disease status based on the clinical data of the patients using Nave Bayes Algorithm. It is a web-based user-friendly system implemented on ASP.NET platform with C# and python for the data analysis. From the experimental results, it is observed that the performance of Nave Bayes is better than the other Algorithm.
Keywords: Data mining, Heart Disease, Nave Bayes, Support Vector Machine
Edition: Volume 5 Issue 5, May 2016
Pages: 1564 - 1571
How to Cite this Article?
Alladoumbaye Ngueilbaye, Lin Lei, Hongzhi Wang, "Comparative Study of Data Mining Techniques on Heart Disease Prediction System: a case study for the ?Republic of Chad?", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV163704, Volume 5 Issue 5, May 2016, 1564 - 1571
116 PDF Views | 98 PDF Downloads
Similar Articles with Keyword 'Data mining'
Research Paper, Computer Science & Engineering, Kenya, Volume 7 Issue 5, May 2018
Pages: 1409 - 1411Students Performance Prediction Using FP-Tree Data Mining Techniques
Eliakim Ombati Akama
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 1165 - 1168Privacy Preserving Closed Frequent Pattern Mining
Anju Vijayan
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014
Pages: 708 - 710A Review on Efficient Algorithms for Mining High Utility Item Sets
Nutan Sarode, Devendra Gadekar
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 1227 - 1231An Efficient Clustering Based High Utility Infrequent Weighted Item Set Mining Approach
Dr. N. Umadevi, A. Gokila Devi
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015
Pages: 3069 - 3074On the Utilization Aspect of Document Data for Mining the Side Information
N.S. Krishna Prasad, S. Dhana Sekaran
Similar Articles with Keyword 'Heart Disease'
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
Pages: 1454 - 1458Heart Disease Prediction with Machine Learning Approaches
Megha Kamboj
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014
Pages: 1593 - 1596Review on Heart Disease Diagnosis Based on Data Mining Techniques
Punam Bajaj, Preeti Gupta
Comparative Studies, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015
Pages: 2120 - 2123Comparative Study on Heart Disease Prediction System Using Data Mining Techniques
T. Revathi, S. Jeevitha
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015
Pages: 1889 - 1892Future Prediction For Heart Attack Problem Based on Most Appropriate Attribute value
Amit Kisan Pagare, Vijay Kumar Verma
Research Paper, Computer Science & Engineering, Chad, Volume 5 Issue 5, May 2016
Pages: 1564 - 1571Comparative Study of Data Mining Techniques on Heart Disease Prediction System: a case study for the ?Republic of Chad?
Alladoumbaye Ngueilbaye, Lin Lei, Hongzhi Wang
Similar Articles with Keyword 'Nave Bayes'
Research Paper, Computer Science & Engineering, India, Volume 5 Issue 5, May 2016
Pages: 1954 - 1957Proposed Techniques to Remove Flaming Problems from Social Networking Sites and outcome of Na?ve Bayes Classifier for Detection of Flames
Vishakha Mal, Dr. A. J. Agrawal
Research Paper, Computer Science & Engineering, Iraq, Volume 6 Issue 12, December 2017
Pages: 1547 - 1551Attack Detection Based on Data Mining Techniques
Dr. Buthynna Fahran, Dr. Mohammed Najm, Mustafa Abdulsamea Abdulhamed
Comparative Studies, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015
Pages: 2120 - 2123Comparative Study on Heart Disease Prediction System Using Data Mining Techniques
T. Revathi, S. Jeevitha
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 1, January 2015
Pages: 954 - 958A Literature Survey on Contrast Data Mining
Dinkal Shah, Narendra Limbad
Research Paper, Computer Science & Engineering, Chad, Volume 5 Issue 5, May 2016
Pages: 1564 - 1571Comparative Study of Data Mining Techniques on Heart Disease Prediction System: a case study for the ?Republic of Chad?
Alladoumbaye Ngueilbaye, Lin Lei, Hongzhi Wang
Similar Articles with Keyword 'Support Vector Machine'
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020
Pages: 457 - 461Artificial Intelligence for Hiring
Ishan Borker, Ashok Veda
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 12, December 2020
Pages: 1615 - 1620Traffic Sign Detection via Graph Based Ranking and Segmentation Algorithm
Premsai Cheedella
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 9, September 2020
Pages: 759 - 761Empirical Study of Fake Reviews Detection of Online Reviews from E-Commerce Website
Phani K. Cheruku, Atul Kumar
Review Papers, Computer Science & Engineering, India, Volume 5 Issue 11, November 2016
Pages: 1892 - 1896Review on Gait Recognition Using Artificial Intelligence
Drishty, Jasmeen Gill
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 498 - 503Application of GA with SVM for Stock Price Prediction in Financial Market
Om Prakash Jena, Dr. Sudarsan Padhy