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Prediction of radiation-induced acute skin toxicity in breast cancer patients using data encapsulation screening and dose-gradient-based multi-region radiomics technique: A multicenter study.

Frontiers in oncology(2022)

Cited 4|Views25
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Abstract
A novel multi-region dose-gradient-based GBDT machine learning framework with a random forest based data encapsulation screening method integrated can achieve a high-accuracy prediction of acute RD 2+ in breast cancer patients.
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Key words
Breast cancer,gradient boosting decision tree,machine learning,radiation therapy,radiation-induced skin toxicity,radiomics
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