Machine learning in lymphocyte and immune biomarker analysis for childhood thyroid diseases in China
Specific lymphocytes with different biomarkers are positively correlated with autoimmune thyroid disease (AITD) in children. Complement proteins C3c and C4, along with IgG, IgA, IgM, and T/B cells, are significant in childhood thyroid diseases. Our best model can effectively distinguish these conditions, but to enhance accuracy, more detailed information such as clinical images might be needed.
Authors
- Rong Yang (ORCID: https://orcid.org/0000-0002-6112-3149)
- Qi Niu (ORCID: https://orcid.org/0000-0001-9237-9553)
- Xu Wang (ORCID: https://orcid.org/0000-0003-1060-840X)
- Wentao Yang (ORCID: https://orcid.org/0000-0002-1686-6883)
- Wei Li (ORCID: https://orcid.org/0000-0001-9931-5990)
- Wei Gu
Institutions
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Pediatrics
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1186/s12887-024-05368-9
- Primary Topic
- Biomarkers in Disease Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00