Machine Learning Methods to Identify Missed Cases of Bladder Cancer in Population-Based Registries

PURPOSE: Population-based cancer incidence rates of bladder cancer may be underestimated. Accurate estimates are needed for understanding the burden of bladder cancer in the United States. We developed and evaluated the feasibility of a machine learning–based classifier to identify bladder cancer ca...

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Detalles Bibliográficos
Autores principales: Noone, Anne-Michelle, Lam, Clara J. K., Smith, Angela B., Nielsen, Matthew E., Boyd, Eric, Mariotto, Angela B., Banerjee, Mousumi
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/PMC8462616/
https://www.ncbi.nlm.nih.gov/pubmed/34097440
http://dx.doi.org/10.1200/CCI.20.00170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462616/
https://www.ncbi.nlm.nih.gov/pubmed/34097440
http://dx.doi.org/10.1200/CCI.20.00170

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