Potential Determinants for Radiation-Induced Lymphopenia in Patients With Breast Cancer Using Interpretable Machine Learning Approach

Radiation-induced lymphopenia is known for its survival significance in patients with breast cancer treated with radiation therapy. This study aimed to evaluate the impact of radiotherapy on lymphocytes by applying machine learning strategies. We used Extreme Gradient Boosting (XGboost) to predict t...

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Detalles Bibliográficos
Autores principales: Yu, Hao, Chen, Fang, Lam, Ka-On, Yang, Li, Wang, Yang, Jin, Jian-Yue, EI Helali, Aya, Kong, Feng-Ming (Spring)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253393/
https://www.ncbi.nlm.nih.gov/pubmed/35799797
http://dx.doi.org/10.3389/fimmu.2022.768811

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253393/
https://www.ncbi.nlm.nih.gov/pubmed/35799797
http://dx.doi.org/10.3389/fimmu.2022.768811

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