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Privacy Technology
Kim J, Grillo JM, Boxwala AA, Jiang X, Mandelbaum RB, Patel BA, Mikels D, Vinterbo SA, Ohno-Machado L. Anomaly and Signature Filtering Improve Classifier Performance For Detection Of Suspicious Access To EHRs. AMIA Annu Symp Proc. 2011;2011:723-31.
Boxwala AA, Kim J, Grillo JM, Ohno-Machado L. Using statistical and machine learning to help institutions detect suspicious access to electronic health records. J Am Med Inform Assoc. 2011;18(4):498-505.
Wu Y, Jiang X, Kim J, Ohno-Machado L. Grid Binary LOgistic REgression (GLORE): building shared models without sharing data. J Am Med Inform Assoc. 2012.
Jiang X, Cheng S, Ohno-Machado L. Quantifying Fine-Grained Privacy Risk and Representativeness in Medical Data. 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2011.
Gardner J, Xiong L, Xiao Y, Gao J, Post AR, Jiang X, Ohno-Machado L. SHARE: system design and case studies for statistical health information release. J Am Med Inform Assoc. 2012.
Jiang X, Menon A, Wang S, Kim J, Ohno-Machado L. Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration. PLoS One. 2012;7(11):e48823.
Mohammed N, Jiang X, Chen R, Fung BCM, Ohno-Machado L. Privacy-preserving heterogeneous health data sharing. J Am Med Inform Assoc. 2012.
Que J, Jiang X, Ohno-Machado L. A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning. AMIA Annu Symp Proc. 2012;2012:1350-9.
Wu Y, Jiang X, Ohno-Machado L. Preserving Institutional Privacy in Distributed binary Logistic Regression. AMIA Annu Symp Proc. 2012;2012:1450-8.
Wang S, Jiang X, Wu Y, Cui L, Cheng S, Ohno-Machado L. EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. J Biomed Inform. 2013;46(3):480-96.