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Muqun Li

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Knowledge and Data Engineering|September 26, 2017
Scalable Iterative Classification for Sanitizing Large-Scale DatasetsBo Li, Yevgeniy Vorobeychik, Muqun Li, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 2, 2019
Efficient Active Learning for Electronic Medical Record De-identificationMuqun Li, Martin Scaiano, Khaled El Emam, et al.
International Journal of Medical Informatics|August 10, 2014
De-identification of clinical narratives through writing complexity measuresMuqun Li, David Carrell, John Aberdeen, et al.
Journal of Biomedical Informatics|March 30, 2016
Optimizing annotation resources for natural language de-identification via a game theoretic frameworkMuqun Li, David Carrell, John Aberdeen, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Knowledge and Data Engineering|September 26, 2017
Scalable Iterative Classification for Sanitizing Large-Scale DatasetsBo Li, Yevgeniy Vorobeychik, Muqun Li, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 2, 2019
Efficient Active Learning for Electronic Medical Record De-identificationMuqun Li, Martin Scaiano, Khaled El Emam, et al.
International Journal of Medical Informatics|August 10, 2014
De-identification of clinical narratives through writing complexity measuresMuqun Li, David Carrell, John Aberdeen, et al.
Journal of Biomedical Informatics|March 30, 2016
Optimizing annotation resources for natural language de-identification via a game theoretic frameworkMuqun Li, David Carrell, John Aberdeen, et al.
Pageof 1