Data Mining in Healthcare for Heart Diseases

• Published in: International journal of innovation and applied studies Vol. 10; no. 4; p. 1312
• Main Authors: Shafique, Umair, Majeed, Fiaz, Qaiser, Haseeb, Ul Mustafa, Irfan
• Format: Journal Article
• Language: English
• Published: Rabat International Journal of Innovation and Applied Studies 01.03.2015
• Subjects: Algorithms; Data mining; Decision trees; Diseases; Health care; Neural networks; Patients; Tasks
• ISSN: 2028-9324; 2028-9324

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, the authors 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 Naive Bayes.