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Review Paper on Prediction of Regional Disease Using Classification Techniques

File Size:
1.36 MB
Volume:
Volume 4, Issue 4 (April, 2018)
Publication No:
IJTC201804006
Author:
Rupinder Kaur Gurm, Navjot Kaur
Downloads:
5 x

Abstract:
Data mining techniques are useful in medical science to analysis medical data and diseases contents. The regional disease like heart disease. The heart disease is the main cause of death worldwide. It is a very complex task to predict the disease like heart disease because it requires more knowledge and experience. In the medical sector contains lots of hidden information that is used in making decisions. There is some data mining algorithms and techniques like Apriori algorithm, ANN, Naive bayes, decision tree, support vector etc. are used for prediction purpose like heart disease. Basically the research results shows prediction accuracy at higher level which is 98% to 99%.Data mining provide methodology and technology for making a decision. Data mining techniques will result a quick prediction of disease with high accuracy. Data mining is an advanced technology.

Keyword:
Data Mining; Classification; Association; Regional disease (heart disease)