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11/20/2023 6:17:21 AM | Browse: 26 | Download: 29
Publication Name World Journal of Gastroenterology
Manuscript ID 87687
Country/Territory China
2023-08-26 12:57
Peer-Review Started
2023-08-26 12:58
To Make the First Decision
Return for Revision
2023-09-18 21:32
2023-10-07 11:50
Second Decision
2023-10-31 02:50
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-11-03 08:06
Articles in Press
2023-11-03 08:06
Publication Fee Transferred
Edit the Manuscript by Language Editor
2023-10-30 05:03
Typeset the Manuscript
2023-11-11 13:17
Publish the Manuscript Online
2023-11-20 06:17
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) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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 Development of a machine learning-based model for predicting risk of early postoperative recurrence of hepatocellular carcinoma
Manuscript Source Unsolicited Manuscript
All Author List Yu-Bo Zhang, Gang Yang, Yang Bu, Peng Lei, Wei Zhang and Dan-Yang Zhang
Author(s) ORCID Number
Yu-Bo Zhang http://orcid.org/0009-0005-6486-8161
Gang Yang http://orcid.org/0009-0004-3262-0770
Yang Bu http://orcid.org/0000-0003-1219-997X
Peng Lei http://orcid.org/0000-0002-5225-485X
Wei Zhang http://orcid.org/0009-0004-4607-8396
Dan-Yang Zhang http://orcid.org/0009-0002-3606-6020
Funding Agency and Grant Number
Funding Agency Grant Number
Ningxia Key Research and Development Program 2018BEG03001
Corresponding Author Peng Lei, MD, Doctor, Department of Hepatobiliary Surgery, General Hospital of Ningxia Medical University, No. 84 Shenli nan Road, Yinchuan 750003, Ningxia Hui Autonomous Region, China. leipengnx@126.com
Key Words Machine learning; Hepatocellular carcinoma; Early recurrence; Risk prediction models; Imaging features; Clinical features
Core Tip The current study aimed at employing machine learning techniques to select imaging and pre-operative clinical characteristic variables, to which the clinicians were easily accessible, to develop six different risk prediction models for early postoperative recurrence of hepatocellular carcinoma (HCC). We compared the sensitivity and specificity of these models in detecting patients at high risk of early postoperative recurrence of HCC. In addition, to increase the feasibility and applicability of the constructed model, we generated a calculator online based on the predictive model to help clinicians apply it in their daily medical practice.
Publish Date 2023-11-20 06:17
Citation Zhang YB, Yang G, Bu Y, Lei P, Zhang W, Zhang DY. Development of a machine learning-based model for predicting risk of early postoperative recurrence of hepatocellular carcinoma. World J Gastroenterol 2023; 29(43): 5804-5817
URL https://www.wjgnet.com/1007-9327/full/v29/i43/5804.htm
DOI https://dx.doi.org/10.3748/wjg.v29.i43.5804
Full Article (PDF) WJG-29-5804-with-cover.pdf
Full Article (Word) WJG-29-5804.docx
Manuscript File 87687_Auto_Edited-CL-WangTQ-JLW.docx
Answering Reviewers 87687-Answering reviewers.pdf
Audio Core Tip 87687-Audio core tip.m4a
Biostatistics Review Certificate 87687-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 87687-Conflict-of-interest statement.pdf
Copyright License Agreement 87687-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 87687-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s) 87687-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 87687-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 87687-Language certificate.pdf
Peer-review Report 87687-Peer-review(s).pdf
Scientific Misconduct Check 87687-Bing-Lin C-2.png
Scientific Editor Work List 87687-Scientific editor work list.pdf