Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy

The purpose of this study was to predict the survival time of patients with malignant glioma after radiotherapy with high accuracy by considering additional clinical factors and optimize the prescription dose and treatment duration for individual patient by using a machine learning model. A total of...

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Detalles Bibliográficos
Autores principales: Mizutani, Takuya, Magome, Taiki, Igaki, Hiroshi, Haga, Akihiro, Nawa, Kanabu, Sekiya, Noriyasu, Nakagawa, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Regular Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357235/
https://www.ncbi.nlm.nih.gov/pubmed/31665445
http://dx.doi.org/10.1093/jrr/rrz066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357235/
https://www.ncbi.nlm.nih.gov/pubmed/31665445
http://dx.doi.org/10.1093/jrr/rrz066

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