Neural network and spline-based regression for the prediction of salivary hypofunction in patients undergoing radiation therapy

BACKGROUND: This study leverages a large retrospective cohort of head and neck cancer patients in order to develop machine learning models to predict radiation induced hyposalivation from dose-volume histograms of the parotid glands. METHODS: The pre and post-radiotherapy salivary flow rates of 510...

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Detalles Bibliográficos
Autores principales: Smith, Derek K., Clark, Haley, Hovan, Allan, Wu, Jonn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165827/
https://www.ncbi.nlm.nih.gov/pubmed/37158946
http://dx.doi.org/10.1186/s13014-023-02274-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165827/
https://www.ncbi.nlm.nih.gov/pubmed/37158946
http://dx.doi.org/10.1186/s13014-023-02274-9

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