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Inflammatory phenotyping by latent class analysis and machine learning-based prediction of postoperative complications in pediatric appendicitis: a retrospective cohort study

BackgroundAcute appendicitis exhibits heterogeneous inflammatory responses that conventional single-marker assessments fail to capture. This study identified distinct inflammatory phenotypes using latent class analysis (LCA) and developed machine learning models to predict postoperative complication...

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Kaydedildi:
Asıl Yazarlar: Yanhui Wang, Fengguang Ye, Xiangxin Zeng, Songbin Lin, Weicheng Huang, Yuexian Yang, Wenyou Chen
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2026-06-01
Seri Bilgileri:Frontiers in Medicine
Konular:
inflammatory phenotype
latent class analysis
machine learning
pediatric appendicitis
postoperative complications
risk prediction
Online Erişim:https://www.frontiersin.org/articles/10.3389/fmed.2026.1848260/full
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