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Bing-Bo He

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Open access Oct 2026

An interpretable machine-learning model to predict moderate-to-severe acute radiation esophagitis following regional nodal irradiation for breast cancer

Acute radiation esophagitis (ARE) is a clinically relevant toxicity occurring in patients with breast cancer receiving post-operative regional nodal irradiation. The present study aimed to develop and evaluate an interpretable machine-learning (ML) model for grade ≥2 ARE. A total of 324 patients were allocated by outco...

Bing-Bo He, Zhong-Chun Qi, Heng-Di Zhang et al. · 0 citations

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