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5/14/2024 8:48:08 AM | Browse: 83 | Download: 553
Publication Name World Journal of Clinical Cases
Manuscript ID 91483
Country Taiwan
Received
2024-01-02 01:47
Peer-Review Started
2024-01-02 01:47
To Make the First Decision
Return for Revision
2024-01-16 02:30
Revised
2024-02-13 06:27
Second Decision
2024-04-09 03:14
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2024-04-09 09:14
Articles in Press
2024-04-09 09:14
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2024-04-19 09:30
Publish the Manuscript Online
2024-05-14 08:48
ISSN 2307-8960 (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) 2024. 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 Health Care Sciences & Services
Manuscript Type Retrospective Study
Article Title Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without non-alcoholic fatty liver
Manuscript Source Unsolicited Manuscript
All Author List I- Chien Chen, Lin-Ju Chou, Shih-Chen Huang, Ta-Wei Chu and Shang-Sen Lee
ORCID
Author(s) ORCID Number
Ta-Wei Chu http://orcid.org/0000-0002-7629-7854
Shang-Sen Lee http://orcid.org/0000-0003-4103-113X
Funding Agency and Grant Number
Funding Agency Grant Number
Kaohsiung Armed Forces General Hospital KAFGH_E_112058
Corresponding Author Shang-Sen Lee, PhD, Chief Physician, Department of Urology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, No. 88, Section 1, Fengxing Road, Tanzi Dist, Taichung 427, Taiwan. j520037@yahoo.com.tw
Key Words Non-alcoholic fatty liver; Estimated glomerular filtration rate; Machine learning; Chinese women
Core Tip We examined influential factors affecting the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease (NAFLD) by multiple linear regression and machine learning methods, with machine learning methods providing better performance and showing that age was the most important determining factor in both groups, followed by lactic dehydrogenase, uric acid, forced expiratory volume in one second, and albumin. However, for the NAFLD- group, the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure, as compared to plasma calcium and body fat for the NAFLD+ group.
Publish Date 2024-05-14 08:48
Citation <p>Chen IC, Chou LJ, Huang SC, Chu TW, Lee SS. Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without non-alcoholic fatty liver. <i>World J Clin Cases</i> 2024; 12(15): 2506-2521</p>
URL https://www.wjgnet.com/2307-8960/full/v12/i15/2506.htm
DOI https://dx.doi.org/10.12998/wjcc.v12.i15.2506
Full Article (PDF) WJCC-12-2506-with-cover.pdf
Manuscript File 91483_Auto_Edited-LJH-YJP.docx
Answering Reviewers 91483-Answering reviewers.pdf
Audio Core Tip 91483-Audio core tip.m4a
Biostatistics Review Certificate 91483-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 91483-Conflict-of-interest statement.pdf
Copyright License Agreement 91483-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 91483-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s) 91483-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 91483-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 91483-Language certificate.pdf
Peer-review Report 91483-Peer-review(s).pdf
Scientific Misconduct Check 91483-Bing-Liu JH-2.png
Scientific Misconduct Check 91483-CrossCheck.png
Scientific Editor Work List 91483-Scientific editor work list.pdf
CrossCheck Report 91483-CrossCheck report.pdf