Development of a Machine Learning-Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive care unit (ICU) and can adversely impact prognosis and augment the risk of complications.

Authors

  • Houfeng Li
    School of Graduate, Hebei North University, Hebei, China.
  • Qinglai Zang
    School of Anesthesiology, Naval Medical University, Shanghai, China.
  • Qi Li
    The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.
  • Yanchen Lin
    Graduate School, Hebei North University, Zhangjiakou, China.
  • Jintao Duan
    School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Huixiu Hu
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Dengyun Xia
    Department of Anesthesiology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, China.
  • Miao Zhou
    Department of Anesthesiology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu, China.