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.

Huichun Feng,Hui Wang,Lixia Xu,Yao Ren,Qianxi Ni,Zhen Yang,Shenglin Ma,Qinghua Deng,Xueqin Chen,Bing Xia,Yu Kuang,Xiadong Li

Frontiers in oncology（2022）

引用 4|浏览12

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摘要

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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关键词

Breast cancer,gradient boosting decision tree,machine learning,radiation therapy,radiation-induced skin toxicity,radiomics

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