Machine learning enables construction of a nomogram based on risk factors for adverse emotions in patients with diabetic foot infection
This study enhanced the predictive accuracy for mood disorders in patients with diabetic foot infections by leveraging machine learning to identify and visualize significant risk factors through a nomogram. This may be a valuable tool for clinical assessments and intervention.
Authors
- Heng Du (ORCID: https://orcid.org/0000-0002-9051-4421)
Institutions
- Baoji City Central Hospital (CN)
Publication Details
- Journal
- American Journal of Translational Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.62347/zwgq9542
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00