Prediction of radiosensitivity and radiocurability using a novel supervised artificial neural network

BACKGROUND: Radiotherapy has been widely used to treat various cancers, but its efficacy depends on the individual involved. Traditional gene-based machine-learning models have been widely used to predict radiosensitivity. However, there is still a lack of emerging powerful models, artificial neural...

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Detalles Bibliográficos
Autores principales: Zeng, Zihang, Luo, Maoling, Li, Yangyi, Li, Jiali, Huang, Zhengrong, Zeng, Yuxin, Yuan, Yu, Wang, Mengqin, Liu, Yuying, Gong, Yan, Xie, Conghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713966/
https://www.ncbi.nlm.nih.gov/pubmed/36451111
http://dx.doi.org/10.1186/s12885-022-10339-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713966/
https://www.ncbi.nlm.nih.gov/pubmed/36451111
http://dx.doi.org/10.1186/s12885-022-10339-3

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