Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy

In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and assessment schemes are essential. In recent years, the growing interest toward artificial intelligence and machine learning (ML) within the science community has led to the implementation of innovative tools...

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Detalles Bibliográficos
Autores principales: Isaksson, Lars J., Pepa, Matteo, Zaffaroni, Mattia, Marvaso, Giulia, Alterio, Daniela, Volpe, Stefania, Corrao, Giulia, Augugliaro, Matteo, Starzyńska, Anna, Leonardi, Maria C., Orecchia, Roberto, Jereczek-Fossa, Barbara A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289968/
https://www.ncbi.nlm.nih.gov/pubmed/32582539
http://dx.doi.org/10.3389/fonc.2020.00790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289968/
https://www.ncbi.nlm.nih.gov/pubmed/32582539
http://dx.doi.org/10.3389/fonc.2020.00790

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