An Effective Prediction of Diseases Using Significant Pattern Mining in Data Exploration

Abstract

These tools are used for business analysis, scientific research, medical research and many other areas. In this project, the diseases can be predicted based on the analysis from their symptoms and the report is generated from the systematic analysis of a particular disease. Early detection and prevention of diseases plays a very important role in reducing the mortality rate caused by those diseases. It is a multilayered method which uses significant pattern mining using iterative search techniques to build a risk prediction system which predicts various diseases. It is user friendly, time and cost saving.
This research uses data mining technology such as classification and prediction to identify potential treatments for patients according to their diseases. Data mining combines techniques including statistical analysis, visualization, decision trees, and neural networks to explore large amounts of data and discover relationships and patterns that shed light on business problems.