Published on in Vol 22, No 7 (2020): July
![Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study](https://asset.jmir.pub/assets/7b676d81ab59ec42cc075467afc6b884.png 480w,https://asset.jmir.pub/assets/7b676d81ab59ec42cc075467afc6b884.png 960w,https://asset.jmir.pub/assets/7b676d81ab59ec42cc075467afc6b884.png 1920w,https://asset.jmir.pub/assets/7b676d81ab59ec42cc075467afc6b884.png 2500w)
1 Department of Computer Science, University of Toronto, Toronto, ON, Canada
2 The Vector Institute for Artificial Intelligence, Toronto, ON, Canada
3 Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
4 Deptartment of Statistics, Computational Statistics & Machine Learning Group, University of Oxford, Oxford, United Kingdom
5 Wellcome Centre for Human Genetics, Nuffield Dept of Medicine, University of Oxford, Oxford, United Kingdom
6 Harvard Medical School, Boston, MA, United States
7 International Centre for Surgical Safety, Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, ON, Canada
8 Surgical Safety Technologies Inc, Toronto, ON, Canada