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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Detalles Bibliográficos
Autores principales: Li, Yimin, Lu, Shun, Lan, Mei, Peng, Xinhao, Zhang, Zijian, Lang, Jinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
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

Internet

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

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