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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Detalhes bibliográficos
Publicado no:Front Oncol
Main Authors: Chen, Siteng, Jiang, Liren, Zhang, Encheng, Hu, Shanshan, Wang, Tao, Gao, Feng, Zhang, Ning, Wang, Xiang, Zheng, Junhua
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Oncology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8247435/
https://ncbi.nlm.nih.gov/pubmed/34222026
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2021.703033
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