Identification of optimal biomarkers associated with distant metastasis in breast cancer using Boruta and Lasso machine learning algorithms
Abstract Objective The aim of this study was to identify optimal biomarkers associated with distant metastasis in patients with breast cancer from among nutritional and inflammatory indicators using the Boruta and Least Absolute Shrinkage and Selection Operator (LASSO) machine learning algorithms, t...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
BMC
2025-08-01
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| سلاسل: | BMC Cancer |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1186/s12885-025-14664-1 |
| الوسوم: |
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