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Articles Published Processes
12/30/2024 9:49:59 AM | Browse: 124 | Download: 788
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Received |
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2024-09-25 01:52 |
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Peer-Review Started |
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2024-09-25 01:52 |
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First Decision by Editorial Office Director |
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2024-11-09 19:30 |
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Return for Revision |
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2024-11-09 19:30 |
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Revised |
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2024-11-15 08:12 |
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Publication Fee Transferred |
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2024-11-18 11:19 |
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Second Decision by Editor |
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2024-12-09 02:36 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-12-09 06:44 |
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Articles in Press |
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2024-12-09 06:44 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-12-20 06:36 |
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Publish the Manuscript Online |
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2024-12-30 09:49 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2025. 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 Study |
| Article Title |
Machine learning model using immune indicators to predict outcomes in early liver cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yi Zhang, Ke Shi, Ying Feng and Xian-Bo Wang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| High-Level Chinese Medicine Key Discipline Construction Project |
zyyzdxk-2023005 |
| Capital Health Development Research Project |
2024-1-2173 |
| National Natural Science Foundation of China |
82474426 and 82474419 |
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| Corresponding Author |
Xian-Bo Wang, Chief Physician, MD, PhD, Professor, Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Chaoyang District, Beijing 100015, China. wangxb@ccmu.edu.cn |
| Key Words |
Hepatocellular carcinoma; Inflammation; Machine learning; Prognosis; Artificial neural networks; Immune biomarkers |
| Core Tip |
This study developed a predictive model using machine learning algorithms that integrates immune-inflammatory biomarkers to forecast the long-term prognosis of patients following surgical resection for early-stage hepatocellular carcinoma. This model aims to optimize screening and treatment strategies. |
| Publish Date |
2024-12-30 09:49 |
| Citation |
Zhang Y, Shi K, Feng Y, Wang XB. Machine learning model using immune indicators to predict outcomes in early liver cancer. World J Gastroenterol 2025; 31(5): 101722
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| URL |
https://www.wjgnet.com/1007-9327/full/v31/i5/101722.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i5.101722 |
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