Privacy Preserving Data Mining for Pharmacovigilance
Author(s) -
Kamatchi Sankar,
Latha Parthiban
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1015.1091s19
Subject(s) - pharmacovigilance , encryption , computer science , information privacy , data mining , cryptography , internet privacy , data science , computer security , adverse effect , medicine , pharmacology
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.
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