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A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma
BACKGROUND: Cervical cancer (CC) represents the fourth most frequently diagnosed malignancy affecting women all over the world. However, effective prognostic biomarkers are still limited for accurately identifying high-risk patients. Here, we provided a combination machine learning algorithm-based s...
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| Publicado no: | J Transl Med |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7275455/ https://ncbi.nlm.nih.gov/pubmed/32503630 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12967-020-02387-9 |
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