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...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Yanhui Wang, Fengguang Ye, Xiangxin Zeng, Songbin Lin, Weicheng Huang, Yuexian Yang, Wenyou Chen
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	Frontiers Media S.A. 2026-06-01
श्रृंखला:	Frontiers in Medicine
विषय:	inflammatory phenotype latent class analysis machine learning pediatric appendicitis postoperative complications risk prediction
ऑनलाइन पहुंच:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1848260/full
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