Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features
ObjectiveThe aim of this study was to evaluate the prognostic potential of combining clinical features and radiomics with multiple machine learning (ML) algorithms in pancreatic ductal adenocarcinoma (PDAC).MethodsA total of 116 patients with PDAC who met the eligibility criteria were randomly assig...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2024-11-01
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| Серии: | Frontiers in Oncology |
| Предметы: | |
| Online-ссылка: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1419297/full |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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