Home ›
Entities
› academia
› Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning
Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning
Research article (PLoS ONE, 2022) · cited 13× · AI/ML
Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning
Summary
Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning is a scholarly article[1].
Key Facts
Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/utility-of-adding-radiomics-to-clinical-features-in-predicting-the-outcomes-of-radiotherapy-for-head-and-neck-cancer-usi
MLA“Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/utility-of-adding-radiomics-to-clinical-features-in-predicting-the-outcomes-of-radiotherapy-for-head-and-neck-cancer-usi.
BibTeX@misc{4ortxyz_utility-of-adding-radiomics-to-clinical-features-in-predicting-the-outcomes-of-radiotherapy-for-head-and-neck-cancer-usi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/utility-of-adding-radiomics-to-clinical-features-in-predicting-the-outcomes-of-radiotherapy-for-head-and-neck-cancer-usi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning — https://4ort.xyz/entity/utility-of-adding-radiomics-to-clinical-features-in-predicting-the-outcomes-of-radiotherapy-for-head-and-neck-cancer-usi (retrieved 2026-05-24)