Skip to main content

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