Machine learning prediction of germline BRCA1/2 pathogenic variants in patients with ovarian cancer
Objectives To assess the performance of machine learning (ML) algorithms to predict the presence of germline BRCA1/2 pathogenic variants in ovarian cancer (OC) patients based on clinical–pathological features.Methods Clinical–pathological features of 648 patients with OC tested for BRCA1/2 were anal...
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| Hauptverfasser: | , , , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMJ Publishing Group
2025-12-01
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| Schriftenreihe: | BMJ Health & Care Informatics |
| Online-Zugang: | https://informatics.bmj.com/content/32/1/e101751.full |
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