Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP

Nasopharyngeal cancer (NPC) has a unique histopathology compared with other head and neck cancers. Individual NPC patients may attain different outcomes. This study aims to build a prognostic system by combining a highly accurate machine learning model (ML) model with explainable artificial intellig...

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Detalles Bibliográficos
Autores principales: Alabi, Rasheed Omobolaji, Elmusrati, Mohammed, Leivo, Ilmo, Almangush, Alhadi, Mäkitie, Antti A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238539/
https://www.ncbi.nlm.nih.gov/pubmed/37268685
http://dx.doi.org/10.1038/s41598-023-35795-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238539/
https://www.ncbi.nlm.nih.gov/pubmed/37268685
http://dx.doi.org/10.1038/s41598-023-35795-0

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