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A Proposed Secured Prediction System for Human Diseases Using a Genetic Algorithm Approach to Data Mining

Ms. Snehal Ganesh Shinde, Dr. L.M.R.J. Lobo

Abstract


Many changes are happening in life styles of people in growing countries like India in recent days. Such changes in environment, diet, pollution and stress have led to the scenario that human beings are affected by microorganisms causing fatal diseases. In India, human diseases have become a major reason of deaths. A number of people have worked in this area to detect a particular disease, but it may happen that a person may be suffering from more than one disease at a time. Our attempt therefore is to detect the diseases a patient is suffering from with the use of detail symptoms given by a patient regarding his health status. This detection will enable him to have an appropriate treatment in time.In the health sector Data Mining techniques can be used to play a major role to detect a disease. The aim of the proposed system is to predict human diseases by using Association Rule Mining Algorithm name Apriori and generating optimized association rules using a Genetic Algorithm.

 


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