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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275455/ https://www.ncbi.nlm.nih.gov/pubmed/32503630 http://dx.doi.org/10.1186/s12967-020-02387-9 |