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Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non‐small‐cell lung cancer treated with stereotactic body radiation therapy
BACKGROUND AND PURPOSE: Chest wall toxicity is observed after stereotactic body radiation therapy (SBRT) for peripherally located lung tumors. We utilize machine learning algorithms to identify toxicity predictors to develop dose–volume constraints. MATERIALS AND METHODS: Twenty‐five patient, tumor,...
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| Pubblicato in: | J Appl Clin Med Phys |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6123157/ https://ncbi.nlm.nih.gov/pubmed/29992732 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acm2.12415 |
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