Muqun (Rachel) Li
Muqun (Rachel) Li
Privacy Analytics, an IQVIA company
Verified email at privacy-analytics.com
Title
Cited by
Cited by
Year
Evaluation of walking in place on a wii balance board to explore a virtual environment
B Williams, S Bailey, G Narasimham, M Li, B Bodenheimer
ACM Transactions on Applied Perception (TAP) 8 (3), 1-14, 2011
822011
De-identification of clinical narratives through writing complexity measures
M Li, D Carrell, J Aberdeen, L Hirschman, BA Malin
International journal of medical informatics 83 (10), 750-767, 2014
202014
Enabling open-science initiatives in clinical psychology and psychiatry without sacrificing patients’ privacy: Current practices and future challenges
CG Walsh, W Xia, M Li, JC Denny, PA Harris, BA Malin
Advances in Methods and Practices in Psychological Science 1 (1), 104-114, 2018
122018
Optimizing annotation resources for natural language de-identification via a game theoretic framework
M Li, D Carrell, J Aberdeen, L Hirschman, J Kirby, B Li, Y Vorobeychik, ...
Journal of biomedical informatics 61, 97-109, 2016
62016
Iterative classification for sanitizing large-scale datasets
B Li, Y Vorobeychik, M Li, B Malin
2015 IEEE International Conference on Data Mining, 841-846, 2015
62015
Scalable iterative classification for sanitizing large-scale datasets
B Li, Y Vorobeychik, M Li, B Malin
IEEE transactions on knowledge and data engineering 29 (3), 698-711, 2016
52016
Recognizing umls semantic types with deep learning
I Nejadgholi, KC Fraser, B De Bruijn, M Li, A LaPlante, KZ El Abidine
Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019
22019
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models
KC Fraser, I Nejadgholi, B De Bruijn, M Li, A LaPlante, KZE Abidine
arXiv preprint arXiv:1910.01274, 2019
12019
Efficient Active Learning for Electronic Medical Record De-identification
M Li, M Scaiano, K El Emam, BA Malin
AMIA Joint Summits on Translational Science proceedings. 2019, 462-471, 2019
12019
Scalable natural language de-identification based on machine learning approaches
M Li
Vanderbilt University, 2018
12018
The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight
DS Carrell, DJ Cronkite, M Li, S Nyemba, BA Malin, JS Aberdeen, ...
Journal of the American Medical Informatics Association 26 (12), 1536-1544, 2019
2019
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Articles 1–11