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Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures
Research article (Radiation Oncology, 2022) · cited 41× · AI/ML
Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures
Summary
Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures is a scholarly article[1].
Key Facts
Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-models-predict-overall-survival-and-progression-free-survival-of-non-surgical-esophageal-cancer-patient
MLA“Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-models-predict-overall-survival-and-progression-free-survival-of-non-surgical-esophageal-cancer-patient.
BibTeX@misc{4ortxyz_machine-learning-models-predict-overall-survival-and-progression-free-survival-of-non-surgical-esophageal-cancer-patient_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-models-predict-overall-survival-and-progression-free-survival-of-non-surgical-esophageal-cancer-patient}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures — https://4ort.xyz/entity/machine-learning-models-predict-overall-survival-and-progression-free-survival-of-non-surgical-esophageal-cancer-patient (retrieved 2026-05-24)
