Risk assessment of ICU patients through deep learning technique: A big data approach.

Journal: Journal of global health
Published Date: May 30, 2022

Abstract

BACKGROUND: Intensive Care Unit (ICU) patients are exposed to various medications, especially during infusion, and the amount of infusion drugs and the rate of their application may negatively affect their health status. A deep learning model can monitor a patient's continuous reaction to tranquillizer therapy, analyze the treatment plans of experts to avoid severe situations such as reverse medication associations, work with a convenient mediator, and change the treatment plans of specialists as needed.

Authors

  • Xiaobing Huang
    Research Center for Ageing Society of Jiangxi Provincial Association of Social Science, Gannan Normal University, Ganzhou, China.
  • Shan Shan
    School of Business Analytics and Decision Making, Coventry University, Coventry, UK.
  • Yousaf A Khan
    Department of Mathematics and Statistics, Hazara University Mansehra, Pakistan.
  • Sultan Salem
    Faculty of Economics, University of Birmingham, Birmingham, UK.
  • Abdullah Mohamed
    Research Center, Future University in Egypt, New Cairo 11845, Egypt.
  • El-Awady Attia
    Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, AI Kharj, Saudi Arabia.

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