Main Article Content
Abstract
Abstract-
Data mining is defined as sifting through huge amounts of data for useful information. Some of the most vital and standard data mining techniques are association rules, classification, clustering, prediction and sequential patterns. Data mining techniques are used for type of
applications. In health care business, data mining plays an important role for predicting diseases. For detecting a disease variety of tests should be needed from the patient. But using data processing technique the amount of check should be reduced. This reduced check plays a
vital role in time and performance. This technique has an advantages and disadvantages. This analysis paper analyzes however data processing techniques are used for predicting different
types of diseases. This paper reviewed the analysis papers that mainly focused on predicting cardiovascular disease, polygenic disorder and breast cancer.
Keywords: Association rules, Breast Cancer, Classification Clustering, Diabetes, and Heart