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Articles Published Processes
10/15/2021 9:45:09 AM | Browse: 496 | Download: 1337
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Received |
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2021-06-06 11:49 |
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Peer-Review Started |
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2021-06-06 11:49 |
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To Make the First Decision |
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Return for Revision |
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2021-06-25 09:28 |
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Revised |
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2021-07-07 04:10 |
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Second Decision |
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2021-07-22 03:02 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-07-22 05:20 |
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Articles in Press |
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2021-07-22 05:20 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-07-31 18:43 |
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Typeset the Manuscript |
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2021-10-11 06:12 |
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Publish the Manuscript Online |
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2021-10-15 09:45 |
| 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) 2021. 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 |
Anesthesiology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Development of a random forest model for hypotension prediction after anesthesia induction for cardiac surgery
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xuan-Fa Li, Yong-Zhen Huang, Jing-Ying Tang, Rui-Chen Li and Xiao-Qi Wang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Xiao-Qi Wang, MD, PhD, Associate Professor, Department of Anesthesiology, The Second Affiliated Hospital of Hainan Medical University, No. 368 Yehai Avenue, Longhua District, Haikou 570311, Hainan Province, China. wxq201904@163.com |
| Key Words |
Anesthesia; Hypotension prediction; Cardiac surgery; Random forest; Machine learning |
| Core Tip |
This was a retrospective study intended to develop a prediction model for hypotensive events after anesthesia during cardiac surgery. A machine-learning technique-random forest-was applied to establish a predictive algorithm using preoperative data. The “features ranked by importance” was also developed in this study. This new type of prediction model can be potentially applied to foresee hypotension events toward avoiding the occurrence of any potential adverse events. |
| Publish Date |
2021-10-15 09:45 |
| Citation |
Li XF, Huang YZ, Tang JY, Li RC, Wang XQ. Development of a random forest model for hypotension prediction after anesthesia induction for cardiac surgery. World J Clin Cases 2021; 9(29): 8729-8739 |
| URL |
https://www.wjgnet.com/2307-8960/full/v9/i29/8729.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v9.i29.8729 |
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