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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Dades bibliogràfiques
Publicat a:Front Oncol
Autors principals: Chen, Siteng, Jiang, Liren, Zhang, Encheng, Hu, Shanshan, Wang, Tao, Gao, Feng, Zhang, Ning, Wang, Xiang, Zheng, Junhua
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2021
Matèries:
Oncology
Accés en línia: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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