An interpreting machine learning models to predict amputation risk in patients with diabetic foot ulcers: a multi-center study.

Journal: Frontiers in endocrinology
PMID: 40201760

Abstract

BACKGROUND: Diabetic foot ulcers (DFUs) constitute a significant complication among individuals with diabetes and serve as a primary cause of nontraumatic lower-extremity amputation (LEA) within this population. We aimed to develop machine learning (ML) models to predict the risk of LEA in DFU patients and used SHapley additive explanations (SHAPs) to interpret the model.

Authors

  • Haoran Tao
    Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Lili You
    Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Yuhan Huang
    College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China.
  • Yunxiang Chen
    Department of Endocrinology, Dongguan People's Hospital Puji Branch, Dongguan, China.
  • Li Yan
    Wenzhou Public Utilities Investment Group Co. Ltd., Wenzhou 325000, China. Electronic address: Vangji@126.com.
  • Dan Liu
    Department of Bioengineering, Temple University, Philadelphia, PA, United States.
  • Shan Xiao
    Beijing Information Technology College, Beijing, China.
  • Bichai Yuan
    Department of Endocrinology, Jieyang People's Hospital, Jieyang, China.
  • Meng Ren
    Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

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