Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2024 Jun 26;12(18):3285-3287.
doi: 10.12998/wjcc.v12.i18.3285.

Machine learning insights on intensive care unit-acquired weakness

Muad Abdi Hassan  1 , Abdulqadir J Nashwan  2
Affiliations
Editorial

Machine learning insights on intensive care unit-acquired weakness

Muad Abdi Hassan et al. World J Clin Cases. .

Abstract

Intensive care unit-acquired weakness (ICU-AW) significantly hampers patient recovery and increases morbidity. With the absence of established preventive strategies, this study utilizes advanced machine learning methodologies to unearth key predictors of ICU-AW. Employing a sophisticated multilayer perceptron neural network, the research methodically assesses the predictive power for ICU-AW, pinpointing the length of ICU stay and duration of mechanical ventilation as pivotal risk factors. The findings advocate for minimizing these elements as a preventive approach, offering a novel perspective on combating ICU-AW. This research illuminates critical risk factors and lays the groundwork for future explorations into effective prevention and intervention strategies.

Keywords: Intensive care unit-acquired weakness; Length of intensive care unit stay; Likelihood factors; Machine learning; Precautionary measures.

PubMed Disclaimer

Conflict of interest statement

Conflict-of-interest statement: All the authors declare that they have no conflict of interest.

References

    1. Othman MI, Nashwan AJ, Abujaber AA, Khatib MY. Artificial Intelligence Applications in the Intensive Care Unit for Sepsis-Associated Encephalopathy and Delirium: A Narrative Review. Avicenna. 2024;2023:1–10.
    1. Vanhorebeek I, Latronico N, Van den Berghe G. ICU-acquired weakness. Intensive Care Med. 2020;46:637–653. - PMC - PubMed
    1. Dres M, Jung B, Molinari N, Manna F, Dubé BP, Chanques G, Similowski T, Jaber S, Demoule A. Respective contribution of intensive care unit-acquired limb muscle and severe diaphragm weakness on weaning outcome and mortality: a post hoc analysis of two cohorts. Crit Care. 2019;23:370. - PMC - PubMed
    1. Li XJ, Wu D, Ding XM. [Research progress on risk prevention and prediction model of intensive care unit acquired weakness] Zhonghua Xiandai Huli Zazhi. 2022;28:269–275.
    1. Liu Y, Liu S, Wang Y, Lombardi F, Han J. A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. IEEE Trans Neural Netw Learn Syst. 2021;32:2809–2824. - PubMed

Publication types

LinkOut - more resources