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CNRS LIMSI UPR 3251 Orsay France Universit e Paris-Sud Orsay France INSERM U1138 Eq 22 Paris France AP-HP HEGP Paris France AMIA Annual Symposium Washington DC November 2014. Lavergne T. and N ev eol A. 2014. Optimizing annotation efforts to build reliable annotated corpora for training statistical models. 927. 915 Acknowledgements French National Research Agency project Accordys grant ANR-12-CORD-0007-03 project CABeRneT grant ANR-13-JS02-0009-01 In Stud Health Technol Inform volume 192...
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How to de-identify a is the process of removing identifying information from data in order to protect the privacy of individuals.
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Any organization or entity that collects, uses, or shares personal data may be required to de-identify data to comply with privacy regulations.
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De-identifying data typically involves removing or modifying personal information such as names, addresses, and social security numbers.
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The purpose of de-identifying data is to protect the privacy of individuals and prevent the re-identification of personal information.
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