Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling

Radiation outcomes prediction (ROP) plays an important role in personalized prescription and adaptive radiotherapy. A clinical decision may not only depend on an accurate radiation outcomes’ prediction, but also needs to be made based on an informed understanding of the relationship among patients’...

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Detalles Bibliográficos
Autores principales: Luo, Yi, Tseng, Huan-Hsin, Cui, Sunan, Wei, Lise, Ten Haken, Randall K., El Naqa, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2019
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592485/
https://www.ncbi.nlm.nih.gov/pubmed/33178948
http://dx.doi.org/10.1259/bjro.20190021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592485/
https://www.ncbi.nlm.nih.gov/pubmed/33178948
http://dx.doi.org/10.1259/bjro.20190021

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