An interpretable machine learning model for predicting central lymph node metastasis in cN0 T1–T2 papillary thyroid carcinoma: a retrospective study

IntroductionThis study aimed to develop and validate an interpretable machine learning model for preoperative prediction of central lymph node metastasis (CLNM) in patients with clinically node-negative (cN0) T1–T2 papillary thyroid carcinoma (PTC).MethodsA retrospective analysis was conducted on 71...

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Principais autores:	Yalin Zhu, Ying Che, Shuhang Gao, Lina Wang, Shuangsong Ren
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-04-01
coleção:	Frontiers in Endocrinology
Assuntos:	central lymph node metastasis (CLNM) inflammatory indices machine learning (ML) papillary thyroid cancer (PTC) prediction model SHAP
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fendo.2026.1803663/full
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