Development and internal validation of an interpretable risk prediction model for diabetic peripheral neuropathy in type 2 diabetes: a single-centre retrospective cohort study in China
The machine learning approach successfully established a DPN risk prediction model with excellent performance. The use of the interpretable SHAP method could enhance the model's clinical applicability.
Authors
- Feng Ju (ORCID: https://orcid.org/0000-0002-9261-1372)
- Lianhua Liu
- Bo Bi (ORCID: https://orcid.org/0000-0002-5756-3133)
- Mei Gui (ORCID: https://orcid.org/0009-0004-5371-9534)
- Xiaodan Wang (ORCID: https://orcid.org/0000-0001-9221-3510)
- Linli Zhang (ORCID: https://orcid.org/0009-0009-5260-9698)
- Li Juan Cao (ORCID: https://orcid.org/0009-0002-6775-6569)
Institutions
- Hainan University (CN)
- Hainan Medical University (CN)
Publication Details
- Journal
- BMJ Open
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1136/bmjopen-2024-092463
- Citations
- 8
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 10.36
Funders
- Natural Science Foundation of Hainan Province