Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort

Authors

Arghya Datta, Washington University in St. Louis
Noah R. Flynn, Washington University School of Medicine in St. Louis
Dustyn A. Barnette, University of Arkansas at Little Rock
Keith F. Woeltje, Washington University School of Medicine in St. Louis
Grover P. Miller, University of Arkansas at Little Rock
S. Joshua Swamidass, Washington University School of Medicine in St. Louis

Journal

PLoS Computational Biology

Publication Date

7-1-2021

Volume

17

Issue

7

First Page

e1009053

Document Type

Open Access Publication

DOI

10.1371/journal.pcbi.1009053

Rights and Permissions

Datta A, Flynn NR, Barnette DA, Woeltje KF, Miller GP, et al. (2021) Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort. PLOS Computational Biology 17(7): e1009053. https://doi.org/10.1371/journal.pcbi.1009053

Recommended Citation

Datta, Arghya; Flynn, Noah R.; Barnette, Dustyn A.; Woeltje, Keith F.; Miller, Grover P.; and Swamidass, S. Joshua, "Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort." PLoS Computational Biology. 17, 7. e1009053 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10529