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Articles Published Processes
7/12/2023 11:13:16 AM | Browse: 160 | Download: 751
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Received |
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2023-05-01 12:25 |
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Peer-Review Started |
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2023-05-01 12:26 |
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To Make the First Decision |
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Return for Revision |
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2023-05-11 17:39 |
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Revised |
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2023-05-14 14:29 |
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Second Decision |
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2023-06-12 02:58 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-06-12 17:51 |
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Articles in Press |
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2023-06-12 17:51 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-06-11 21:16 |
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Typeset the Manuscript |
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2023-07-03 11:04 |
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Publish the Manuscript Online |
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2023-07-12 11:13 |
ISSN |
1948-5204 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
©The Author(s) 2023. 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 |
Gastroenterology & Hepatology |
Manuscript Type |
Retrospective Cohort Study |
Article Title |
Development and validation of a postoperative pulmonary infection prediction model for patients with primary hepatic carcinoma
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Chao Lu, Zhi-Xiang Xing, Xi-Gang Xia, Zhi-Da Long, Bo Chen, Peng Zhou, Lu Chao and Rui Wang |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Rui Wang, MD, Surgical Oncologist, Department of Hepatobiliary & Pancreaticospleen Surgery, Yangtze University, Jing Zhou hospital, No. 26 Chuyuan Road, Jingzhou District, Jingzhou 434020, Hubei Province, China. wangrui_20222022@163.com |
Key Words |
Primary hepatic carcinoma; Pulmonary infection; Gray-level co-occurrence matrix; Machine learning; Prediction |
Core Tip |
Identifying risk factors for postoperative pulmonary infection in patients with primary hepatic carcinoma can improve the level of prevention and clinical treatment, ultimately reducing or even avoiding the occurrence of postoperative infection complications, reducing treatment time and costs, and improving patient efficacy and prognosis. The prediction model developed in our study provides valuable guidance for clinicians in predicting the risk of pulmonary infection and effectively preventing, diagnosing, and treating postoperative infection in patients with primary hepatic carcinoma, leading to an improved patient prognosis. |
Publish Date |
2023-07-12 11:13 |
Citation |
Lu C, Xing ZX, Xia XG, Long ZD, Chen B, Zhou P, Wang R. Development and validation of postoperative pulmonary infection prediction model for patients with primary hepatic carcinoma. World J Gastrointest Oncol 2023; 15(7): 1241-1252 |
URL |
https://www.wjgnet.com/1948-5204/full/v15/i7/1241.htm |
DOI |
https://dx.doi.org/10.4251/wjgo.v15.i7.1241 |
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