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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      Volume 37 Issue 3, 2022   
    Article

    PRIVACY PREVENTION OF HEALTH CARE DATA USING AI
    Soumit Roy
    Journal of Data Acquisition and Processing, 2022, 37 (3): 769-777 . 

    Abstract

    Electronic health records, telemedicine, and wearable technology are at the vanguard of a dramatic digital revolution taking place in the healthcare sector. Although this digitalization has many advantages, including better patient care and medical research, it also poses significant problems, most notably with regard to the privacy of healthcare data. Sensitive medical data must be kept secure since breaches can lead to fraud, identity theft, and a decline in patient confidence. In light of changing cyber dangers, the old ways of protecting data are no longer sufficient. This essay examines the crucial part artificial intelligence (AI) plays in protecting the privacy of healthcare data, outlining future trends in this crucial area while also analyzing approaches, laws, and case studies.

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ISSN 1004-9037

         

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