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Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer

PURPOSE: To evaluate the effect of transforming a right-censored outcome into binary, continuous, and censored-aware representations on radiomics feature selection and subsequent prediction of overall survival (OS) and relapse-free survival (RFS) of patients with oropharyngeal cancer. METHODS AND MA...

詳細記述

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書誌詳細
出版年:JCO Clin Cancer Inform
主要な著者: Zdilar, Luka, Vock, David M., Marai, G. Elisabeta, Fuller, Clifton D., Mohamed, Abdallah S.R., Elhalawani, Hesham, Elgohari, Baher Ahmed, Tiras, Carly, Miller, Austin, Canahuate, Guadalupe
フォーマット: Artigo
言語:Inglês
出版事項: American Society of Clinical Oncology 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6354589/
https://ncbi.nlm.nih.gov/pubmed/30652615
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.18.00052
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