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Articles Published Processes
10/24/2024 9:16:56 AM | Browse: 78 | Download: 506
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Received |
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2024-03-18 12:51 |
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Peer-Review Started |
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2024-03-18 12:51 |
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First Decision by Editorial Office Director |
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2024-08-09 16:57 |
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Return for Revision |
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2024-08-09 16:57 |
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Revised |
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2024-08-22 09:37 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-09-04 02:37 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-09-04 07:13 |
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Articles in Press |
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2024-09-04 07:13 |
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Edit the Manuscript by Language Editor |
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2024-09-07 14:35 |
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Typeset the Manuscript |
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2024-09-19 09:47 |
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Publish the Manuscript Online |
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2024-10-24 09:16 |
| ISSN |
2307-8960 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Computer Science, Artificial Intelligence |
| Manuscript Type |
Editorial |
| Article Title |
Unraveling intensive care unit-acquired weakness: Unveiling significant risk factors and preemptive strategies through machine learning
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Xiao-Yu He, Yi-Huan Zhao, Qian-Wen Wan and Fu-Shan Tang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Fu-Shan Tang, PhD, Professor, Department of Clinical Pharmacy, Key Laboratory of Basic Pharmacology of Guizhou Province and School of Pharmacy, Zunyi Medical University, No. 6 Xuefu West Road, Xinpu New District, Zunyi 563006, Guizhou Province, China. fstang@vip.163.com |
| Key Words |
Intensive care unit-acquired weakness; Risk factors; Machine learning; Clinical medicine; Treatment decision |
| Core Tip |
This editorial emphasizes the importance of recognizing the risk factors linked to intensive care unit-acquired weakness and highlights the vital role of machine learning in identifying and managing these factors to improve patient outcomes and enhance the quality of care in clinical settings. |
| Publish Date |
2024-10-24 09:16 |
| Citation |
He XY, Zhao YH, Wan QW, Tang FS. Unraveling intensive care unit-acquired weakness: Unveiling significant risk factors and preemptive strategies through machine learning. World J Clin Cases 2024; 12(35): 6760-6763 |
| URL |
https://www.wjgnet.com/2307-8960/full/v12/i35/6760.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v12.i35.6760 |
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