Development and validation of a deep learning model to screen hypokalemia from electrocardiogram in emergency patients.

Journal: Chinese medical journal
PMID: 34483253

Abstract

BACKGROUND: A deep learning model (DLM) that enables non-invasive hypokalemia screening from an electrocardiogram (ECG) may improve the detection of this life-threatening condition. This study aimed to develop and evaluate the performance of a DLM for the detection of hypokalemia from the ECGs of emergency patients.

Authors

  • Chen-Xi Wang
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang University School of Medicine, Nanchang, Jiangxi 330006, China.
  • Yi-Chu Zhang
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang University School of Medicine, Nanchang, Jiangxi 330006, China.
  • Qi-Lin Kong
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang University School of Medicine, Nanchang, Jiangxi 330006, China.
  • Zu-Xiang Wu
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang University School of Medicine, Nanchang, Jiangxi 330006, China.
  • Ping-Ping Yang
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang University School of Medicine, Nanchang, Jiangxi 330006, China.
  • Cai-Hua Zhu
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang University School of Medicine, Nanchang, Jiangxi 330006, China.
  • Shou-Lin Chen
    Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang University School of Medicine, Nanchang, Jiangxi 330006, China.
  • Tao Wu
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China.
  • Qing-Hua Wu
    Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
  • Qi Chen
    Department of Gastroenterology, Jining First People's Hospital, Jining, China.

Keywords

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