Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.
Background: Approximately 10%-15% of patients with breast cancer die of cancer metastasis or recurrence, and early diagnosis of it can improve prognosis. Breast cancer outcomes may be prognosticated on the basis of surface markers of tumor cells and serum tests. However, evaluation of a combination...
| Publicado en: | International Journal of Medical Informatics Vol. 128; pp. 79 - 87 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |