Risk Prediction Using Bayesian Networks: An Immunotherapy Case Study in Patients With Metastatic Renal Cell Carcinoma

To address the need for more accurate risk stratification models for cancer immuno-oncology, this study aimed to develop a machine-learned Bayesian network model (BNM) for predicting outcomes in patients with metastatic renal cell carcinoma (mRCC) being treated with immunotherapy. METHODS: Patient-l...

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Detalles Bibliográficos
Autores principales: Gupta, Alind, Arora, Paul, Brenner, Darren, Vanderpuye-Orgle, Jacqueline, Boyne, Devon J., Edmondson-Jones, Mark, Parkhomenko, Elena, Stevens, Warren, Dudani, Shaan, Heng, Daniel Y. C., Wagner, Samuel, Borrill, John, Wu, Elise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2021
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140790/
https://www.ncbi.nlm.nih.gov/pubmed/33764818
http://dx.doi.org/10.1200/CCI.20.00107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140790/
https://www.ncbi.nlm.nih.gov/pubmed/33764818
http://dx.doi.org/10.1200/CCI.20.00107

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