Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records

Authors

Aixia Guo, Washington University School of Medicine in St. Louis
Sakima Smith, The Ohio State University
Yosef M. Khan, American Heart Association, Dallas
James R. Langabeer II, University of Texas Health Science Center at Houston
Randi E. Foraker, Washington University School of Medicine in St. Louis

Journal

PLoS One

Publication Date

1-1-2021

Volume

16

Issue

9

First Page

e0239007

Document Type

Open Access Publication

DOI

10.1371/journal.pone.0239007

Rights and Permissions

Guo A, Smith S, Khan YM, Langabeer II JR, Foraker RE (2021) Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records. PLOS ONE 16(9): e0239007. https://doi.org/10.1371/journal.pone.0239007

Recommended Citation

Guo, Aixia; Smith, Sakima; Khan, Yosef M.; Langabeer, James R. II; and Foraker, Randi E., "Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records." PLoS One. 16, 9. e0239007 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10933