Retrospective Study
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. May 26, 2024; 12(15): 2506-2521
Published online May 26, 2024. doi: 10.12998/wjcc.v12.i15.2506
Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without non-alcoholic fatty liver
I-Chien Chen, Lin-Ju Chou, Shih-Chen Huang, Ta-Wei Chu, Shang-Sen Lee
I-Chien Chen, Lin-Ju Chou, Shih-Chen Huang, Department of Nursing, Kaohsiung Armed Forces General Hospital, Kaohsiung 802, Taiwan
Ta-Wei Chu, Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
Ta-Wei Chu, Chief Executive Officer's Office, MJ Health Research Foundation, Taipei 114, Taiwan
Shang-Sen Lee, Department of Urology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung 427, Taiwan
Shang-Sen Lee, School of Medicine, Tzu Chi University, Hualian 970, Taiwan
Shang-Sen Lee, Department of Urology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
Author contributions: Chen IC participated in study design and oversight; Chou LJ participated in study design and data collection; Huang SC participated in data collection and data analysis; Lee SS and Chu TW both participated in data analysis and drafted the manuscript. All authors read and approved the final manuscript.
Supported by the Kaohsiung Armed Forces General Hospital.
Institutional review board statement: Ethics approval and participant consent: The research plan was reviewed and approved by the Institutional Review Board of Kaohsiung Armed Forces General Hospital on July 1, 2023 prior to the start of the study.
Informed consent statement: All the authors consent to the publication.
Conflict-of-interest statement: All authors have no conflicts of interest.
Data sharing statement: Availability of data and materials: Data available on request due to privacy/ethical restrictions.
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: 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
Received: January 2, 2024
Revised: February 13, 2024
Accepted: April 9, 2024
Published online: May 26, 2024
Processing time: 133 Days and 7 Hours
Core Tip

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.