Ultrasound-based radiomics XGBoost model to assess the risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual application of SHAP

OBJECTIVES: A radiomics-based explainable eXtreme Gradient Boosting (XGBoost) model was developed to predict central cervical lymph node metastasis (CCLNM) in patients with papillary thyroid carcinoma (PTC), including positive and negative effects. METHODS: A total of 587 PTC patients admitted at Bi...

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Detalles Bibliográficos
Autores principales: Shi, Yan, Zou, Ying, Liu, Jihua, Wang, Yuanyuan, Chen, Yingbin, Sun, Fang, Yang, Zhi, Cui, Guanghe, Zhu, Xijun, Cui, Xu, Liu, Feifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458917/
https://www.ncbi.nlm.nih.gov/pubmed/36091102
http://dx.doi.org/10.3389/fonc.2022.897596

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458917/
https://www.ncbi.nlm.nih.gov/pubmed/36091102
http://dx.doi.org/10.3389/fonc.2022.897596

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