Interpretable machine learning model for predicting recurrence in patients with diabetic foot ulcers
The XGBoost model demonstrated strong predictive accuracy and clinical relevance in assessing DFU recurrence risk. However, further multicenter validation with a larger sample size is needed to improve its generalizability and clinical applicability.
Authors
- Shunli Rui (ORCID: https://orcid.org/0000-0002-1251-6747)
- Zhiqiang Huo (ORCID: https://orcid.org/0000-0001-7705-5331)
- David Armstrong (ORCID: https://orcid.org/0000-0001-5533-8648)
- Waiping Shan
- Chenzhen Du (ORCID: https://orcid.org/0000-0003-1796-6592)
- Dongfeng Tang (ORCID: https://orcid.org/0000-0003-3927-3156)
- Salma A. Ayis (ORCID: https://orcid.org/0000-0002-0449-869X)
- W.L. Mou (ORCID: https://orcid.org/0009-0009-7329-9449)
- Yanzhong Wang (ORCID: https://orcid.org/0000-0002-0768-1676)
- Lu Chen (ORCID: https://orcid.org/0000-0003-2906-2507)
- Haotian Gu (ORCID: https://orcid.org/0000-0003-3270-4347)
- Wuquan Deng (ORCID: https://orcid.org/0009-0004-4172-4571)
- Seunghee Yu (ORCID: https://orcid.org/0009-0001-9371-5827)
- Cheng Yang (ORCID: https://orcid.org/0009-0003-5050-7387)
Institutions
- University of Southern California (US)
- Queen Mary University of London (GB)
- King's College London (GB)
- Florence Nightingale Foundation (GB)
- British Heart Foundation (GB)
- Chongqing Emergency Medical Center (CN)
Publication Details
- Journal
- BMJ Open Diabetes Research & Care
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1136/bmjdrc-2025-005242
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Queen Mary University of London
- Sir Run Run Shaw Hospital
- King's College London
- University of Oxford
- University of Bath
- University of Bristol
- University College Dublin
- National Natural Science Foundation of China
- Chongqing University
- Fudan University
- Zhejiang University
- Sichuan University
- China Academy of Chinese Medical Sciences
- Chengdu University of Traditional Chinese Medicine
- Southern Medical University
- Nanfang Hospital
- Chengdu University
- Shandong First Medical University
- National Science and Technology Major Project
- National Institutes of Health
- Medical Research Council
- West China Hospital, Sichuan University
- ULB Center for Diabetes Research
- National Institute of Diabetes and Digestive and Kidney Diseases