Asian Journal of Computer Science and Technology (AJCST)
Data Mining for the Prediction of Heart Disease: A Literature Survey
Author : P. Umasankar and V. ThiagarasuVolume 8 No.1 January-March 2019 pp 1-6
Abstract
The health care environment is found to be rich in information, but poor in extracting knowledge from the information. This is because of the lack of effective analysis tool to discover hidden relationships and trends in them. By applying the data mining techniques, valuable knowledge can be extracted from the health care system. Heart disease is a group of condition affecting the structure and functions of heart and has many root causes. Heart disease is the leading cause of death in the world over past ten years. Researches have been made with many hybrid techniques for diagnosing heart disease. This paper deals with an overall review of application of data mining in heart disease prediction.
Keywords
Cardio Vascular Disease, Data Mining, Feature Selection, Classification, Association Rule Mining, Clustering
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References
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