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Effects of data anonymization by cell suppression on descriptive statistics and predictive modeling performance.
Protecting individual data in disclosed databases is essential. Data anonymization strategies can produce table ambiguation by suppression of selected cells. Using table ambiguation, different degrees of anonymization can be achieved, depending on the number of individuals that a particular case mus...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Medical Informatics Association
2001
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2243599/ https://ncbi.nlm.nih.gov/pubmed/11825239 |
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