Classification of angioedema types using decision tree modeling

IntroductionAll angioedema (AE) presents with transient, localized swelling; however, the underlying causes, prognosis, and treatments vary significantly. Consequently, identifying a specific AE type is challenging.MethodsWe aimed to apply a machine learning (ML) model to improve AE diagnosis. Rand...

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Autors principals:	Felix Aulenbacher, Annika Gutsche, Henriette Farkas, Kinga Viktória Kőhalmi, Emek Kocatürk, Emel Aygören-Pürsün, Ludovic Martin, Hilary Longhurst, Petra Staubach, Andrea Zanichelli, Werner Aberer, Anette Bygum, Mignon van den Elzen, Thomas Buttgereit, Markus Magerl
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-01-01
Col·lecció:	Frontiers in Immunology
Matèries:	angioedema hereditary angioedema bradykinin-mediated angioedema mast cell-mediated angioedema machine learning Random Forest
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fimmu.2025.1697143/full
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