Local Distortion Hiding Algorithm in Medical Data: A Case Study sing CART.

Data sharing has become an increasingly common process among health organizations, but any organization will most likely try to hide some sensitive patterns before sharing its data with others. Local Distortion Hiding (LDH), a recently proposed algorithm, has been evaluated only on the assumption of...

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Publicado en:Studies in Health Technology & Informatics Vol. 272; pp. 99 - 103
Autores principales: FERETZAKIS, Georgios, KALLES, Dimitris, VERYKIOS, Vassilios S.
Formato: tables/charts Journal Article
Publicado: Sage Publications Inc. 2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2020
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      pub: Sage Publications Inc.
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        atl: Local Distortion Hiding Algorithm in Medical Data: A Case Study sing CART.
      aug:
        au:
          FERETZAKIS, Georgios
          KALLES, Dimitris
          VERYKIOS, Vassilios S.
        affil: School of Science and Technology, Hellenic Open University, Patras 263 35, Greece
      sug:
        subj:
          Electronic Data Interchange
          Privacy and Confidentiality
          Algorithms
          Health Informatics
          Decision Trees
          Machine Learning
          kappa Statistic
      ab: Data sharing has become an increasingly common process among health organizations, but any organization will most likely try to hide some sensitive patterns before sharing its data with others. Local Distortion Hiding (LDH), a recently proposed algorithm, has been evaluated only on the assumption of an opponent using the J48 (C4.5) classification algorithm. We now extend the basic approach, and we present a medical dataset hiding case study of a processed by LDH and attacked with the CART algorithm.
      pubtype: Academic Journal
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        tables/charts
        Journal Article
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    language: English
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