Predicting brain function status changes in critically ill patients via Machine learning.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Oct 12, 2021

Abstract

OBJECTIVE: In intensive care units (ICUs), a patient's brain function status can shift from a state of acute brain dysfunction (ABD) to one that is ABD-free and vice versa, which is challenging to forecast and, in turn, hampers the allocation of hospital resources. We aim to develop a machine learning model to predict next-day brain function status changes.

Authors

  • Chao Yan
    School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Cheng Gao
    Dept. of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, USA.
  • Ziqi Zhang
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
  • Wencong Chen
    Department of Biostatistics, School of Medicine, Vanderbilt University, Nashville, Tennessee, USA.
  • Bradley A Malin
    Vanderbilt University, Nashville, TN.
  • E Wesley Ely
    Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Mayur B Patel
    2Vanderbilt University School of Medicine, Nashville, Tennessee.
  • You Chen
    Dept. of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, USA.

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