Uncovering Nonlinear Predictors of Serum Biomarker Uric Acid Using Interpretable Machine Learning in Healthy Men

期刊文章

同儕審查

Chung Chi Yang, Min Chung Shen, Zih-Yin Lai, Jyun Cheng Ke, Ta Wei Chu 和 Yung-Jen Chuang

Biomedicines, 卷.13(10), 頁.2469

01/10/2025

PMID: 41153752

摘要

multiple linear regression

multivariate adaptive regression splines

nonlinear modeling

uric acid

Machine Learning

url

https://doi.org/10.3390/biomedicines13102469檢視

1 檢視次數

題名: Uncovering Nonlinear Predictors of Serum Biomarker Uric Acid Using Interpretable Machine Learning in Healthy Men
創作者：: Chung Chi Yang - Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
Min Chung Shen - Taoyuan Armed Forces General Hospital
Zih-Yin Lai - Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
Jyun Cheng Ke - University of Taipei
Ta Wei Chu - National Defense Medical Center
Yung-Jen Chuang - Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
學術資源類型: 期刊文章
出版日期: 01/10/2025
出版資訊: Biomedicines, 卷.13(10), 頁.2469
語言: 英語