Differential diagnosis of eczema and psoriasis using routine clinical data and machine learning: development of a web-based tool in a multicenter outpatient cohort
This machine learning-based diagnostic tool showed strong performance and interpretability in differentiating eczema from psoriasis using routine laboratory data. The user-friendly web interface enables rapid, non-invasive decision support in outpatient clinical settings.
Authors
- Yinhao Li (ORCID: https://orcid.org/0000-0002-8924-5279)
- Zheng Zhao (ORCID: https://orcid.org/0000-0002-0368-786X)
- Ying Wang (ORCID: https://orcid.org/0000-0002-3288-5195)
- Xuhua Ren (ORCID: https://orcid.org/0000-0003-3903-1333)
- Ning Ding (ORCID: https://orcid.org/0000-0003-3193-129X)
- Min Sun (ORCID: https://orcid.org/0000-0002-7049-5526)
- Xiangfu Meng (ORCID: https://orcid.org/0009-0006-0116-579X)
Institutions
- Liaoning Technical University (CN)
- Dalian Medical University (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
- Shenyang 242 Hospital (CN)
- China Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3389/fmed.2025.1667794
- Citations
- 1
- Primary Topic
- Psoriasis: Treatment and Pathogenesis
- Type
- article
- Field-Weighted Citation Impact
- 0.80