AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients.

Journal: PloS one
Published Date: Jan 1, 2025

Abstract

INTRODUCTION: In older patients, postoperative delirium (POD) is a major complication that can result in greater morbidity, longer hospital stays, and higher healthcare expenses. Accurate prediction models for POD can enhance patient outcomes by guiding preventative strategies. This study utilizes advanced machine learning techniques to develop a predictive model for POD using comprehensive perioperative data.

Authors

  • Sri Harsha Boppana
    Department of Internal Medicine, Nassau University Medical Center, East Meadow, New York, United States of America.
  • Divyansh Tyagi
    Department of Applied Physics, Delhi Technological University, Delhi, India.
  • Sachin Komati
    Department of Computer Science, Florida International University, Miami, Florida, United States of America.
  • Sri Lasya Boppana
    Department of Internal Medicine, Alluri Sitarama Raju Academy of Medical Sciences, Eluru, India.
  • Ritwik Raj
    Johns Hopkins University Zanvyl Krieger School of Arts and Sciences, Baltimore, Maryland, United States of America.
  • C David Mintz
    Department of Anesthesiology & Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.

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