Privacy Preserving Data Mining for Pharmacovigilance
Kamatchi Sankar1, Latha Parthiban2
1Kamatchi Sankar, Research Scholar, Department of Computer Science & Engineering, Bharath Institute of Higher Education and Research, (Tamil Nadu), India.
2Latha Parthiban, Department of Computer Science and Engineering, Pondicherry University Community College, (Puducherry), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 78-80 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10151091S19/19©BEIESP | DOI: 10.35940/ijeat.A1015.1091S19
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Abstract: In this paper, visual cryptography concept is used for preserving the privacy of sensitive data used for pharmacovigilance. Overall analysis of adverse events of a specific drug helps in finding the potential danger of using the a specific drug. Preserving data owners privacy is done by using visual cryptography technique. Tetracycline drugs adverse effect present in FAERS dataset is extracted, encrypted and decrypted by the novel methodology proposed.
Keywords: Visual Cryptography, Pharmacovigilance, Adverse Event.
Scope of the Article: Data Mining