• Miss. Snehal Ganesh Shinde
• Dr. L.M.R.J Lobo

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 system is to predict different types of arrhythmia by using Association Rule Mining name Apriori and generating optimized association rules using Genetic Algorithm. The predicted output is the best association rules which will be used for the optimal prediction of diseases. This system can be used in medical sector. It is observed that many people lose their lives due to untimely detection of diseases. Such a system would detect a disease in time and required treatment can be given to save the patient. Thus it has a social cause. The results achieved by the experimentation conducted by us indicates that rules with good accuracy (confidence) are achieved. The result of Apriori association rule algorithm achieved by the implemented system is compared with WEKA.

Diseases, Association Rule Mining, Genetic Algorithm, Rules.

"A SECURED PREDICTION SYSTEM FOR HUMAN DISEASES USING A GENETIC ALGORITHM APPROACH TO DATA MINING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.266-274, January-2019, Available :http://www.jetir.org/papers/JETIRW006059.pdf

"A SECURED PREDICTION SYSTEM FOR HUMAN DISEASES USING A GENETIC ALGORITHM APPROACH TO DATA MINING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp266-274, January-2019, Available at : http://www.jetir.org/papers/JETIRW006059.pdf