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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2002
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC419433/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M1241 |
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