PPDM and Data Mining Technique Ensures Privacy and Security for Medical Text and Image Feature Extraction in E-Health Care System
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PPDM and Data Mining Technique Ensures Privacy and Security for Medical Text and Image Feature Extraction in E-Health Care System
Abstract—AbstractThe main objective of this research is ensuring the privacy
as well as security by improving the fully homomorphic data aggregation. It is also focused to achieve the higher classification results in the disease detection. Methods: The existing method of PPDM is used to achieve the privacy in healthcare systems and proposed method of artificial neural network (ANN) algorithm is used to detect the disease more accurately.Findings: The proposed method increases the performance in terms of higher precision, recall and reduction in time complexity. Application/Improvements: The proposed system is done by using gray level co-occurrence matrix feature extraction and ANN approach.ANN method is used for identification of diseased images and improves the classification results significantly.Keyword: Data mining, privacy preservation, security, features extraction and classification.< final year projects >
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