Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study

Research article (Journal of the Egyptian National Cancer Institute, 2024) · cited 13× · AI/ML
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Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study

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Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study is a scholarly article[1].

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  • Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-disease-recurrence-in-breast-cancer-patients-using-machine-learning-models-with-clinical-and-radiomic-charact
MLA “Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-disease-recurrence-in-breast-cancer-patients-using-machine-learning-models-with-clinical-and-radiomic-charact.
BibTeX @misc{4ortxyz_predicting-disease-recurrence-in-breast-cancer-patients-using-machine-learning-models-with-clinical-and-radiomic-charact_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-disease-recurrence-in-breast-cancer-patients-using-machine-learning-models-with-clinical-and-radiomic-charact}, note = {Accessed: 2026-05-24}}
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