A Novel Nomogram Based on Machine Learning-Pathomics Signature and Neutrophil to Lymphocyte Ratio for Survival Prediction of Bladder Cancer Patients

Traditional histopathology performed by pathologists through naked eyes is insufficient for accurate survival prediction of bladder cancer (BCa). In addition, how neutrophil to lymphocyte ratio (NLR) could be used for prognosis prediction of BCa patients has not been fully understood. In this study,...

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Detalles Bibliográficos
Autores principales: Chen, Siteng, Jiang, Liren, Zhang, Encheng, Hu, Shanshan, Wang, Tao, Gao, Feng, Zhang, Ning, Wang, Xiang, Zheng, Junhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247435/
https://www.ncbi.nlm.nih.gov/pubmed/34222026
http://dx.doi.org/10.3389/fonc.2021.703033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247435/
https://www.ncbi.nlm.nih.gov/pubmed/34222026
http://dx.doi.org/10.3389/fonc.2021.703033

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