A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications
Publication
, Journal Article
Page, D; kuusisto, F; steill, J; Kuang, Z; Thomson, J; Stewart, R
Published in: AMIA Summits on Translational Science Proceeding
July 26, 2019
Duke Scholars
Published In
AMIA Summits on Translational Science Proceeding
ISSN
2153-4063
Publication Date
July 26, 2019
Start / End Page
166 / 174
Publisher
American Medical Informatics Association
Citation
APA
Chicago
ICMJE
MLA
NLM
Page, D., kuusisto, F., steill, J., Kuang, Z., Thomson, J., & Stewart, R. (2019). A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. AMIA Summits on Translational Science Proceeding, 166–174.
Page, David, Finn kuusisto, John steill, Zhaobin Kuang, James Thomson, and Ron Stewart. “A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications.” AMIA Summits on Translational Science Proceeding, July 26, 2019, 166–74.
Page D, kuusisto F, steill J, Kuang Z, Thomson J, Stewart R. A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. AMIA Summits on Translational Science Proceeding. 2019 Jul 26;166–74.
Page, David, et al. “A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications.” AMIA Summits on Translational Science Proceeding, American Medical Informatics Association, July 2019, pp. 166–74.
Page D, kuusisto F, steill J, Kuang Z, Thomson J, Stewart R. A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. AMIA Summits on Translational Science Proceeding. American Medical Informatics Association; 2019 Jul 26;166–174.
Published In
AMIA Summits on Translational Science Proceeding
ISSN
2153-4063
Publication Date
July 26, 2019
Start / End Page
166 / 174
Publisher
American Medical Informatics Association