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Exploring the tradeoff between data privacy and utility with a clinical data analysis use case: a case report

2023-06-09

Abstract excerpt

Securing adequate data privacy is critical for the productive utilization of data. De-identification, involving masking or replacing specific values in a dataset, could damage the dataset’s utility. However, finding a reasonable balance between data privacy and utility is not straightforward. Nonetheless, few studies investigated how data de-identification efforts affect data analysis results. This study aimed to...

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Literature Corpus work
8f55e619-af1c-530a-9f46-868ba607f8b0
DOI
10.21203/rs.3.rs-3007383/v1
Open publication

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Exploring the tradeoff between data privacy and utility with a clinical data analysis use case: a case reportDOI 10.21203/rs.3.rs-3007383/v1
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