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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Nov 21, 2023; 29(43): 5804-5817
Published online Nov 21, 2023. doi: 10.3748/wjg.v29.i43.5804
Published online Nov 21, 2023. doi: 10.3748/wjg.v29.i43.5804
Development of a machine learning-based model for predicting risk of early postoperative recurrence of hepatocellular carcinoma
Yu-Bo Zhang, Gang Yang, Peng Lei, Wei Zhang, Dan-Yang Zhang, Department of Hepatobiliary Surgery, General Hospital of Ningxia Medical University, Yinchuan 750003, Ningxia Hui Autonomous Region, China
Yang Bu, Department of Hepatobiliary Surgery, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan 750003, Ningxia Hui Autonomous Region, China
Author contributions: Zhang YB analyzed the data and wrote the manuscript; Yang G analyzed the data and wrote the original draft; Bu Y contributed the resources; Lei P designed the research; Zhang W analyzed the data; Zhang DY wrote the original draft.
Supported by Ningxia Key Research and Development Program , No. 2018BEG03001 .
Institutional review board statement: The study was approved by the Ethics Committee of the General Hospital of Ningxia Medical University (KYLL-2023-0378).
Informed consent statement: Written informed consent was provided by individual patients.
Conflict-of-interest statement: The authors declare no conflict of interest for this article.
Data sharing statement: No additional data are available.
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/
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
Received: August 26, 2023
Peer-review started: August 26, 2023
First decision: September 18, 2023
Revised: October 7, 2023
Accepted: November 3, 2023
Article in press: November 3, 2023
Published online: November 21, 2023
Peer-review started: August 26, 2023
First decision: September 18, 2023
Revised: October 7, 2023
Accepted: November 3, 2023
Article in press: November 3, 2023
Published online: November 21, 2023
Core Tip
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.