Cargando…
Head and Neck Radiation Therapy Patterns of Practice Variability Identified as a Challenge to Real-World Big Data: Results From the Learning from Analysis of Multicentre Big Data Aggregation (LAMBDA) Consortium
PURPOSE: Outside of randomized clinical trials, it is difficult to develop clinically relevant evidence-based recommendations for radiation therapy (RT) practice guidelines owing to lack of comprehensive real-world data. To address this knowledge gap, we formed the Learning from Analysis of Multicen...
Autores principales: | Caissie, Amanda, Mierzwa, Michelle, Fuller, Clifton David, Rajaraman, Murali, Lin, Alex, MacDonald, Andrew, Popple, Richard, Xiao, Ying, VanDijk, Lisanne, Balter, Peter, Fong, Helen, Xu, Heping, Kovoor, Matthew, Lee, Joonsang, Rao, Arvind, Martel, Mary, Thompson, Reid, Merz, Brandon, Yao, John, Mayo, Charles |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873496/ https://www.ncbi.nlm.nih.gov/pubmed/36711064 http://dx.doi.org/10.1016/j.adro.2022.100925 |
Ejemplares similares
-
Big Data Analytics: Turning Big Data into Big Money
por: Ohlhorst, Frank
Publicado: (2012) -
The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
por: Deutsch, Eric W, et al.
Publicado: (2020) -
Big Data and Big Science
por: Di Meglio, Alberto
Publicado: (2014) -
Big Process for Big Data
por: Foster, Ian
Publicado: (2013) -
Big data, big lies?
por: Paulson, Richard J.
Publicado: (2022)