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Titlebook: Medical Data Privacy Handbook; Aris Gkoulalas-Divanis,Grigorios Loukides Book 2015 Springer International Publishing Switzerland 2015 Data

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樓主: 我在爭斗志
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發(fā)表于 2025-3-30 11:16:45 | 只看該作者
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發(fā)表于 2025-3-30 18:38:04 | 只看該作者
Utility-Constrained Electronic Health Record Data Publishing Through Generalization and Disassociatithe sharing of such data may lead to the disclosure of patients’ identities, which must be prevented to address privacy concerns and comply with worldwide legislation. To ensure that data privacy and utility are preserved, a . anonymization approach can be enforced. This approach transforms a given
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發(fā)表于 2025-3-30 22:02:16 | 只看該作者
Methods to Mitigate Risk of Composition Attack in Independent Data Publicationsreserving data publications. Many methods have been proposed to anonymize individual datasets and multiple datasets of the same data publisher. In real life, a dataset is rarely isolated and two datasets published by two organizations may contain the records of the same individuals. For example, pat
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發(fā)表于 2025-3-31 01:40:42 | 只看該作者
Statistical Disclosure Limitation for Health Data: A Statistical Agency Perspectivee perspective of statistical agencies is presented. Traditional outputs in the form of survey microdata and tabular outputs are first presented with respect to quantifying disclosure risk, common SDL techniques for protecting the data, and measuring information loss. In recent years, however, there
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發(fā)表于 2025-3-31 06:13:54 | 只看該作者
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