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Using Machine Learning to Predict Radiation Pneumonitis in Patients with Stage I Non-Small Cell Lung Cancer Treated with Stereotactic Body Radiation Therapy

PURPOSE/OBJECTIVES: To develop a patient-specific “big data” clinical decision tool to predict pneumonitis in Stage I non-small cell lung cancer (NSCLC) patients after stereotactic body radiation therapy (SBRT). MATERIALS/METHODS: 61 features were recorded for 201 consecutive patients with Stage I N...

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Vydáno v:Phys Med Biol
Hlavní autoři: Valdes, Gilmer, Solberg, Timothy D., Heskel, Marina, Ungar, Lyle, Simone, Charles B.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2016
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5491385/
https://ncbi.nlm.nih.gov/pubmed/27461154
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/61/16/6105
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