A Real-Time Signal-Based Wavelet Long Short-Term Memory Method for Length-of-Stay Prediction for the Intensive Care Unit: Development and Evaluation Study.

Journal: JMIR AI
Published Date: Aug 20, 2025

Abstract

BACKGROUND: Efficient allocation of health care resources is essential for long-term hospital operation. Effective intensive care unit (ICU) management is essential for alleviating the financial strain on health care systems. Accurate prediction of length-of-stay in ICUs is vital for optimizing capacity planning and resource allocation, with the challenge of achieving early, real-time predictions.

Authors

  • Yiqun Jiang
    Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, #12 Jiangwangmiao Road, Nanjing, Jiangsu, China. yiqunjiang@qq.com.
  • Qing Li
    Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.
  • Wenli Zhang
    Comprehensive Testing Center, North China University of Science and Technology, Tangshan, 063210, PR China.

Keywords

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