Discriminative and Distinct Phenotyping by Constrained Tensor Factorization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-01139-y.pdf
Reference53 articles.
1. Freimer, N. & Sabatti, C. The human phenome project. Nature genetics 34, 15–21, doi: 10.1038/ng0503-15 (2003).
2. McCarty, C. A. et al. The emerge network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies. BMC medical genomics 4, 1, doi: 10.1186/1755-8794-4-13 (2011).
3. Overhage, J. M., Ryan, P. B., Reich, C. G., Hartzema, A. G. & Stang, P. E. Validation of a common data model for active safety surveillance research. Journal of the American Medical Informatics Association 19, 54–60, doi: 10.1136/amiajnl-2011-000376 (2012).
4. Hripcsak, G. & Albers, D. J. Next-generation phenotyping of electronic health records. Journal of the American Medical Informatics Association 20, 117–121, doi: 10.1136/amiajnl-2012-001145 (2013).
5. Kho, A. N. et al. Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study. Journal of the American Medical Informatics Association 19, 212–218, doi: 10.1136/amiajnl-2011-000439 (2012).
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