Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning.

Journal: ArXiv
Published Date:

Abstract

IMPORTANCE: Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system that generates treatment recommendations based on patient states can be a substantial asset in perioperative decision-making, as in cases of intraoperative hypotension, for which suboptimal management is associated with acute kidney injury (AKI), a common and morbid postoperative complication.

Authors

  • Esra Adiyeke
    University of Florida Intelligent Critical Care Center, Gainesville, FL; Department of Medicine, Division of Nephrology, Hypertension, and Renal Transplantation, University of Florida, Gainesville, FL.
  • Tianqi Liu
    Google Research, New York, New York, USA.
  • Venkata Sai Dheeraj Naganaboina
    Intelligent Clinical Care Center (IC), University of Florida, Gainesville, FL.
  • Han Li
  • Tyler J Loftus
    Department of Surgery, University of Florida Health, Gainesville, FL. Electronic address: tyler.loftus@surgery.ufl.edu.
  • Yuanfang Ren
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Benjamin Shickel
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Matthew M Ruppert
    Department of Medicine, University of Florida, Gainesville, Florida; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida.
  • Karandeep Singh
    Department of Internal Medicine and School of Information, University of Michigan, Ann Arbor, Michigan.
  • Ruogu Fang
    J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL.
  • Parisa Rashidi
    Department of Biomedical Engineering, University of Florida, Gainesville, FL USA.
  • Azra Bihorac
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Tezcan Ozrazgat-Baslanti
    Department of Medicine, University of Florida, Gainesville, FL USA.

Keywords

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