Publication Name	World Journal of Hepatology
Manuscript ID	117465
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Non-invasive prediction of significant hepatic fibrosis in individuals with chronic hepatitis C infection using fibrosis risk score and machine learning models
Manuscript Source	Unsolicited Manuscript
All Author List	Azra Bashir, Renuka Arora, Deepti Mehrotra, Manju Bala, Arshed H Parry, Asif Iqball, Shabir A Bhat and Zeeshan A Wani
Funding Agency and Grant Number
Corresponding Author	Arshed H Parry, Assistant Professor, Department of Radiodiagnosis and Imaging, Government Medical College, 10, Karanagar, Srinagar 190010, Jammu and Kashmir, India. arshedparry@gmail.com
Key Words	Chronic hepatitis C; Non-invasive fibrosis assessment; Hepatic fibrosis; Lipid biomarkers; Platelet count; Machine learning; Random forest; AdaBoost
Core Tip	This study developed and validated a simple non-invasive fibrosis risk score for hepatitis C virus using platelet count, lipid markers, and liver function parameters. The score outperformed commonly used clinical tools for detecting significant hepatic fibrosis. Additionally, machine-learning models were evaluated, which outperformed the commonly used clinical risk scoring systems with random forest and AdaBoost demonstrating the highest diagnostic performance for detecting significant hepatic fibrosis in hepatitis C virus.
Citation	Bashir A, Arora R, Mehrotra D, Bala M, Parry AH, Iqball A, Bhat SA, Wani ZA. Non-invasive prediction of significant hepatic fibrosis in individuals with chronic hepatitis C infection using fibrosis risk score and machine learning models. World J Hepatol 2026; In press

Received	2025-12-08 06:58
Peer-Review Started	2025-12-08 06:59
First Decision by Editorial Office Director	2025-12-25 08:24
Return for Revision	2025-12-25 08:24
Revised	2025-12-28 14:08
Publication Fee Transferred	2025-12-31 13:31
Second Decision by Editor	2026-02-02 02:52
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-02 12:25
Articles in Press	2026-02-02 12:25
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright	© The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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