An interpretable machine learning model for diabetic foot risk classification in patients with diabetes

X Xiaohua Hu (State Key Laboratory of Marine Environmental Science, Xiamen University) H Huijun Xi Z Zibo Fan L Leixia Zhu J Jia Shi (State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering & Institute of Artificial Intelligence & Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM)) S Shuangshuang Qian J Jing Qiu Y Yingzhi Li H Hong Ding (Tsung-Dao Lee Institute, School of Physics and Astronomy, and State Key Laboratory of Micro-nano Engineering Science, Shanghai Jiao Tong University, Shanghai, China.)

Article Details

Volume / Issue Vol. 1, Issue 1
Published June 23, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (9)

X

Xiaohua Hu

State Key Laboratory of Marine Environmental Science, Xiamen University

H

Huijun Xi

Z

Zibo Fan

L

Leixia Zhu

J

Jia Shi

State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering & Institute of Artificial Intelligence & Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM)

S

Shuangshuang Qian

J

Jing Qiu

Y

Yingzhi Li

H

Hong Ding

Tsung-Dao Lee Institute, School of Physics and Astronomy, and State Key Laboratory of Micro-nano Engineering Science, Shanghai Jiao Tong University, Shanghai, China.