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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Principais autores:	Hao Yu, Fang Chen, Ka-On Lam, Li Yang, Yang Wang, Jian-Yue Jin, Aya EI Helali, Feng-Ming (Spring) Kong
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-06-01
coleção:	Frontiers in Immunology
Assuntos:	radiation-induced lymphopenia breast cancer radiation dose machine learning SHapley Additive exPlanation
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fimmu.2022.768811/full
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