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PREDICTING LUNG RADIOTHERAPY-INDUCED PNEUMONITIS USING A MODEL COMBINING PARAMETRIC LYMAN PROBIT WITHNONPARAMETRIC DECISION TREES

PURPOSE: To develop and test a model to predict for lung radiation-induced Grade 2+ pneumonitis. METHODS AND MATERIALS: The model was built from a database of 234 lung cancer patients treated with radiotherapy (RT), of whom 43 were diagnosed with pneumonitis. The model augmented the predictive capab...

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Main Authors: Das, Shiva K., Zhou, Sumin, Zhang, Junan, Yin, Fang-Fang, Dewhirst, Mark W., Marks, Lawrence B.
格式: Artigo
語言:Inglês
出版: 2007
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2668833/
https://ncbi.nlm.nih.gov/pubmed/17637394
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijrobp.2007.03.064
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