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Towards a privacy preserving cohort discovery framework for clinical research networks.

, , , , , , and . J. Biomed. Informatics, (2017)

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The Chicago Health Atlas: A Public Resource to Visualize Health Conditions and Resources in Chicago., , , , , , , and . AMIA, AMIA, (2012)Leveraging social networks to detect anomalous insider actions in collaborative environments., , , and . ISI, page 119-124. IEEE, (2011)Preserving Privacy by De-Identifying Face Images., , and . IEEE Trans. Knowl. Data Eng., 17 (2): 232-243 (2005)CheapSMC: A Framework to Minimize SMC Cost in Cloud., , , and . CoRR, (2016)k-Unlinkability: A privacy protection model for distributed data.. Data Knowl. Eng., 64 (1): 294-311 (2008)A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records., , , , and . ICHI, page 1-7. IEEE, (2019)GenoPri'16: International Workshop on Genome Privacy and Security., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (5): 1403-1404 (2018)R-U policy frontiers for health data de-identification., , , , and . J. Am. Medical Informatics Assoc., 22 (5): 1029-1041 (2015)Managing re-identification risks while providing access to the All of Us research program., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 30 (5): 907-914 (April 2023)Predicting brain function status changes in critically ill patients via Machine learning., , , , , , , and . J. Am. Medical Informatics Assoc., 28 (11): 2412-2422 (2021)