Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients

BACKGROUND AND PURPOSE: Head and neck cancer (HNC) patients treated with radiotherapy often suffer from radiation-induced toxicities. Normal Tissue Complication Probability (NTCP) modeling can be used to determine the probability to develop these toxicities based on patient, tumor, treatment and dos...

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Detalles Bibliográficos
Autores principales: Spiero, I., Schuit, E., Wijers, O.B., Hoebers, F.J.P., Langendijk, J.A., Leeuwenberg, A.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562149/
https://www.ncbi.nlm.nih.gov/pubmed/37822705
http://dx.doi.org/10.1016/j.ctro.2023.100677

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562149/
https://www.ncbi.nlm.nih.gov/pubmed/37822705
http://dx.doi.org/10.1016/j.ctro.2023.100677

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