Prediction of lymph node metastasis in patients with breast invasive micropapillary carcinoma based on machine learning and SHapley Additive exPlanations framework

ABSTRACT: Background and purpose: Machine learning (ML) is applied for outcome prediction and treatment support. This study aims to develop different ML models to predict risk of axillary lymph node metastasis (LNM) in breast invasive micropapillary carcinoma (IMPC) and to explore the risk factors o...

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Detalles Bibliográficos
Autores principales: Jiang, Cong, Xiu, Yuting, Qiao, Kun, Yu, Xiao, Zhang, Shiyuan, Huang, Yuanxi
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/PMC9520536/
https://www.ncbi.nlm.nih.gov/pubmed/36185290
http://dx.doi.org/10.3389/fonc.2022.981059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520536/
https://www.ncbi.nlm.nih.gov/pubmed/36185290
http://dx.doi.org/10.3389/fonc.2022.981059

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