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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: | , , , , , |
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格式: | Artigo |
語言: | Inglês |
出版: |
2007
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主題: | |
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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