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Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer
Research article (JCO Clinical Cancer Informatics, 2018) · cited 26× · AI/ML
Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer
Summary
Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer is a scholarly article[1].
Key Facts
Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-effect-of-right-censored-end-point-transformation-for-radiomic-feature-selection-of-data-from-patients-wi
MLA“Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-effect-of-right-censored-end-point-transformation-for-radiomic-feature-selection-of-data-from-patients-wi.
BibTeX@misc{4ortxyz_evaluating-the-effect-of-right-censored-end-point-transformation-for-radiomic-feature-selection-of-data-from-patients-wi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-effect-of-right-censored-end-point-transformation-for-radiomic-feature-selection-of-data-from-patients-wi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer — https://4ort.xyz/entity/evaluating-the-effect-of-right-censored-end-point-transformation-for-radiomic-feature-selection-of-data-from-patients-wi (retrieved 2026-05-24)
