Volume 10, Issue 4, March 2015, Pages 1312–1322
Umair Shafique1, Fiaz Majeed2, Haseeb Qaiser3, and Irfan Ul Mustafa4
1 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
2 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
3 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
4 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Data Mining is the area of research which means digging of useful information or knowledge from previous data. There are different techniques used for the data mining. Data mining may used in different fields including Healthcare. Heart or Cardiovascular diseases are the very hot issue in Healthcare industry globally. Many patients died due to insufficient amount of knowledge. As Healthcare industry produces a huge amount of data, we may use data mining to find hidden patterns and interesting knowledge that may help in effective and efficient decision making. Data mining in Healthcare is a crucial and complicated task that needs to be executed accurately. It attempts to solve real world health problems in diagnosis and treatment of diseases. This work is also an attempt to find out interesting patterns from data of heart patients. There are three algorithm used with two different scenarios. These implemented algorithms are Decision Tree, Neural Network and Na
Author Keywords: Heart Diseases, Decision Tree, Weka, Neural Network, Na.
Umair Shafique1, Fiaz Majeed2, Haseeb Qaiser3, and Irfan Ul Mustafa4
1 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
2 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
3 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
4 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Data Mining is the area of research which means digging of useful information or knowledge from previous data. There are different techniques used for the data mining. Data mining may used in different fields including Healthcare. Heart or Cardiovascular diseases are the very hot issue in Healthcare industry globally. Many patients died due to insufficient amount of knowledge. As Healthcare industry produces a huge amount of data, we may use data mining to find hidden patterns and interesting knowledge that may help in effective and efficient decision making. Data mining in Healthcare is a crucial and complicated task that needs to be executed accurately. It attempts to solve real world health problems in diagnosis and treatment of diseases. This work is also an attempt to find out interesting patterns from data of heart patients. There are three algorithm used with two different scenarios. These implemented algorithms are Decision Tree, Neural Network and Na
Author Keywords: Heart Diseases, Decision Tree, Weka, Neural Network, Na.
How to Cite this Article
Umair Shafique, Fiaz Majeed, Haseeb Qaiser, and Irfan Ul Mustafa, “Data Mining in Healthcare for Heart Diseases,” International Journal of Innovation and Applied Studies, vol. 10, no. 4, pp. 1312–1322, March 2015.
