Study of a Kawasaki disease diagnostic prediction model based on the LightGBM machine learning algorithm
BackgroundKawasaki disease (KD) is an acute systemic vasculitis predominantly affecting children under 5 years of age. Its pathogenesis remains incompletely understood, and the lack of specific diagnostic biomarkers during the acute phase poses substantial challenges to clinical diagnosis. Such diag...
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| Asıl Yazarlar: | , , , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2026-05-01
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| Seri Bilgileri: | Frontiers in Artificial Intelligence |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/frai.2026.1776007/full |
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