Development and validation of nomogram and machine learning models to predict sarcopenia in patients with chronic kidney disease

Y Yan Zhao Z Zongyue Hu H Huaize Dong L Lu Zhu (School of Life Sciences) Q Qiuqiu Xia C Chu Lei X Xi Peng K Ke Zhu (State Key Laboratory of Geological Processes and Mineral Resources, Hubei Key Laboratory of Planetary Geology and Deep-Space Exploration, School of Earth Sciences, China University of Geosciences) J Jia Li X Xuemei Liu

Article Details

Volume / Issue Vol. 15, Issue 1
Published November 27, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (10)

Y

Yan Zhao

Z

Zongyue Hu

H

Huaize Dong

L

Lu Zhu

School of Life Sciences

Q

Qiuqiu Xia

C

Chu Lei

X

Xi Peng

K

Ke Zhu

State Key Laboratory of Geological Processes and Mineral Resources, Hubei Key Laboratory of Planetary Geology and Deep-Space Exploration, School of Earth Sciences, China University of Geosciences

J

Jia Li

X

Xuemei Liu