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De-Identification of Clinical Text: Stakeholders' Perspectives and Acceptance of Automatic De-Identification.

, , , , and . AMIA, AMIA, (2020)

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Inferring Genotype from Clinical Phenotype through a Knowledge Based Algorithm., and . Pacific Symposium on Biocomputing, page 41-52. (2002)Detecting Anomalous Insiders in Collaborative Information Systems., , and . IEEE Trans. Dependable Secur. Comput., 9 (3): 332-344 (2012)Leveraging social networks to detect anomalous insider actions in collaborative environments., , , and . ISI, page 119-124. IEEE, (2011)A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records., , , , and . ICHI, page 1-7. IEEE, (2019)Mining Deviations from Patient Care Pathways via Electronic Medical Record System Audits., , , , and . ACM Trans. Manag. Inf. Syst., 4 (4): 17:1-17:20 (2013)Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readers., , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (9): 1374-1382 (2020)EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders., , , , , and . CoRR, (2020)Telehealth Uptake into Primary Care During the COVID-19 Pandemic., , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 1032-1033. IOS Press, (2021)How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study., , , , , , , and . PSD, volume 13463 of Lecture Notes in Computer Science, page 361-374. Springer, (2022)Scalable load balancing for mapreduce-based record linkage., , and . IPCCC, page 1-10. IEEE Computer Society, (2013)