Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 38759055

Abstract

BACKGROUND: This study utilizes machine learning to analyze the recurrence risk of diabetic foot ulcers (DFUs) in elderly diabetic patients, aiming to enhance prevention and intervention efforts.

Authors

  • Shichai Hong
    Department of Vascular Surgery, Zhongshan Hospital (Xiamen), Fudan University, Huli District, Xiamen, Fujian, China.
  • Yihui Chen
    Department of Vascular Surgery, Zhongshan Hospital (Xiamen), Fudan University, Huli District, Xiamen, Fujian, China.
  • Yue Lin
    Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
  • Xinsheng Xie
    Department of Vascular Surgery, Zhongshan Hospital (Xiamen), Fudan University, Huli District, Xiamen, Fujian, China.
  • Gang Chen
    Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Hefu Xie
    Xiamen University School of Information Science and Technology, Xiamen University Xiang'an Campus, Xiamen, Fujian, China.
  • Weifeng Lu
    Department of Vascular Surgery, Zhongshan Hospital (Xiamen), Fudan University, Huli District, Xiamen, Fujian, China.

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