Machine-learning diagnostic models for ovarian tumors
Purpose: To create a diagnostic framework for clinical behavior and pathological tissue prognosis in ovarian cancer by using machine-learning (ML) methods based on multiple biomarkers. Experimental design: Overall, 713 patients with ovarian tumors at Sun Yat Sen Memorial Hospital were randomized int...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-10-01
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| Seri Bilgileri: | Heliyon |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2405844024130253 |
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