Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records-Reference-Cited by-同舟云学术

Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records

Published:2019-06-25 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Thompson Jeffrey,Hu Jinxiang,Mudaranthakam Dinesh Pal,Streeter David,Neums Lisa,Park Michele,Koestler Devin C.,Gajewski Byron,Jensen Roy^ORCID,Mayo Matthew S.

Funder

U.S. Department of Health & Human Services | NIH | National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-45705-y.pdf

Reference16 articles.

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3. Manion, F. J. et al. Leveraging EHR Data for Outcomes and Comparative Effectiveness Research in Oncology. Curr Oncol Rep 14, 494–501, https://doi.org/10.1007/s11912-012-0272-6 (2012).

4. Xu, H. et al. Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality. J Am Med Inform Assn 22, 179–191, https://doi.org/10.1136/amiajnl-2014-002649 (2015).

5. Keegan, T. H. M., Le, G. M., McClure, L. A. & Glaser, S. L. Availability and utility of body mass index for population-based cancer surveillance. Cancer Cause Control 19, 51–57, https://doi.org/10.1007/s10552-007-9069-6 (2008).

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