Critical Study And Analysis For Deciding Sensitive And Non-Sensitive Attributes Of Medical Healthcare Dataset Through Survey And Using Association Rule Mining

Association rule mining technique is useful for extracting useful relation from the given dataset. In today’s scenario data mining technique is performed on medical dataset to find out a pattern on relative attributes. In this this paper Apriory algorithm is used of association rule mining technique to find out patterns. List of probable medical attributes has been finalized through survey for creating dataset. Dataset created mainly for the age group of 20 to 45 years. Total 26 attributes finalized and 131 input was taken through google form for crating database to decide highly sensitive, average sensitive, low sensitive and not sensitive attribute. This approach was studied using weka [8] tool.