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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...
Autores principales: | Yu, Hao, Chen, Fang, Lam, Ka-On, Yang, Li, Wang, Yang, Jin, Jian-Yue, EI Helali, Aya, Kong, Feng-Ming (Spring) |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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