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Articles Published Processes
9/9/2024 8:41:19 AM | Browse: 214 | Download: 646
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Received |
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2024-03-29 09:33 |
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Peer-Review Started |
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2024-03-29 09:33 |
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First Decision by Editorial Office Director |
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2024-07-25 06:30 |
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Return for Revision |
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2024-07-25 06:54 |
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Revised |
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2024-07-31 10:51 |
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Publication Fee Transferred |
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2024-08-07 15:20 |
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Second Decision by Editor |
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2024-08-07 02:35 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-08-07 05:01 |
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Articles in Press |
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2024-08-07 05:01 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-08-13 04:29 |
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Publish the Manuscript Online |
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2024-09-09 08:41 |
| 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) 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 |
Oncology |
| Manuscript Type |
Retrospective Cohort Study |
| Article Title |
Construction and evaluation of a liver cancer risk prediction model based on machine learning
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ying-Ying Wang, Wan-Xia Yang, Qia-Jun Du, Zhen-Hua Liu, Ming-Hua Lu and Chong-Ge You |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Cuiying Scientific and Technological Innovation Program of The Second Hospital |
CY2021-BJ-A16, CY2022-QN-A18 |
| Clinical Medical School of Lanzhou University and Lanzhou Science and Technology Development Guidance Plan Project |
2023-ZD-85 |
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| Corresponding Author |
Chong-Ge You, PhD, Chief, Laboratory Medicine Center, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82 Cuiyingmen, Chengguan District, Lanzhou 730030, Gansu Province, China. youchg@lzu.edu.cn |
| Key Words |
Hepatocellular carcinoma; Cirrhosis; Prediction model; Machine learning; Random forest |
| Core Tip |
We constructed a prediction model for hepatocellular carcinoma with reliable and effective clinical diagnostic capacity. In the training cohort (n = 385), machine learning models were developed based on six variables including age; white blood cell, red blood cell, and platelet counts; and alpha-fetoprotein and protein induced by vitamin K absence or antagonist II levels. The performance of these models was assessed in an independent validation cohort of 165 subjects. We compared our model with the ASAP model using receiver operating characteristic curve, calibration, and decision curve analysis. Our findings demonstrated that a random forest model exhibited discriminatory power, calibration performance, and clinical utility. |
| Publish Date |
2024-09-09 08:41 |
| Citation |
Wang YY, Yang WX, Du QJ, Liu ZH, Lu MH, You CG. Construction and evaluation of a liver cancer risk prediction model based on machine learning. World J Gastrointest Oncol 2024; 16(9): 3839-3850 |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i9/3839.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v16.i9.3839 |
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