Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records.

Journal: Studies in health technology and informatics
Published Date: Jun 6, 2022

Abstract

OBJECTIVE: We aimed to develop a data-driven machine learning model for predicting critical deterioration events from routinely collected EHR data in hospitalized children.

Authors

  • Lingyun Shi
    Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Naveen Muthu
    Department of Biomedical Informatics, CHOP.
  • Gerald P Shaeffer
    Department of Biomedical Informatics, CHOP.
  • Yujie Sun
    State Key Laboratory of Membrane Biology, Biodynamic Optical Imaging Center, School of Life Sciences, Peking University, Beijing, China.
  • Victor M Ruiz Herrera
    Tsui Laboratory, Children's Hospital of Philadelphia (CHOP).
  • Fuchiang R Tsui
    Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania, PA, USA. Electronic address: tsuif@chop.edu.

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