Abstract
Abstract: Data mining is a new technology with enormous potential to focus on important information and collected customer behaviour. Healthcare services used to have incredible potential for data mining because of this exponential development in the number of electronic health records. Medical data is health-related data related to regular patient care and clinical trial program. The feature selection process is choosing the relevant features for efficient disease diagnosis. With healthcare data, the classification and clustering methods had used for efficient disease diagnosis. In this paper, several researchers researched different disease diagnosis methods. However, time complexity had not reduced, and existing disease diagnosis methods did not enhance the accuracy. To address the proposed methods and different disease diagnosis schemes appraised.
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