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

Journal: PloS one
Published Date: Sep 13, 2021

Abstract

BACKGROUND: Cardiac dysrhythmias (CD) affect millions of Americans in the United States (US), and are associated with considerable morbidity and mortality. New strategies to combat this growing problem are urgently needed.

Authors

  • Aixia Guo
    Institute for Informatics (I2), Washington University School of Medicine, St. Louis, MO, United States.
  • Sakima Smith
    Department of Internal Medicine, The Ohio State University, Columbus, OH, United States of America.
  • Yosef M Khan
    Health Informatics and Analytics, Centers for Health Metrics and Evaluation, American Heart Association, Dallas, TX, United States of America.
  • James R Langabeer Ii
    School of Biomedical Informatics, Health Science Center at Houston, The University of Texas, Houston, TX, United States of America.
  • Randi E Foraker
    Institute for Informatics (I2), Washington University School of Medicine, St. Louis, MO, United States.

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