Machine Learning for Prediction of Survival Outcomes with Immune-Checkpoint Inhibitors in Urothelial Cancer

SIMPLE SUMMARY: Machine learning (ML) is a form of artificial intelligence that could be used to enhance the efficiency of developing accurate prediction models for survival outcomes with cancer medicines, which is critical in informing disease prognosis and care planning. We used data from two rece...

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Detalles Bibliográficos
Autores principales: Abuhelwa, Ahmad Y., Kichenadasse, Ganessan, McKinnon, Ross A., Rowland, Andrew, Hopkins, Ashley M., Sorich, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122430/
https://www.ncbi.nlm.nih.gov/pubmed/33919237
http://dx.doi.org/10.3390/cancers13092001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122430/
https://www.ncbi.nlm.nih.gov/pubmed/33919237
http://dx.doi.org/10.3390/cancers13092001

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