Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semi-supervised learning: a pilot study

This work combines Raman spectroscopy (RS) with supervised learning methods—group and basis restricted non-negative matrix factorisation (GBR-NMF) and linear discriminant analysis (LDA)—to aid in the prediction of clinical indicators of disease progression in a cohort of 9 patients receiving high do...

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Detalles Bibliográficos
Autores principales: Milligan, Kirsty, Deng, Xinchen, Ali-Adeeb, Ramie, Shreeves, Phillip, Punch, Samantha, Costie, Nathalie, Crook, Juanita M., Brolo, Alexandre G., Lum, Julian J., Andrews, Jeffrey L., Jirasek, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448740/
https://www.ncbi.nlm.nih.gov/pubmed/36068275
http://dx.doi.org/10.1038/s41598-022-19446-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448740/
https://www.ncbi.nlm.nih.gov/pubmed/36068275
http://dx.doi.org/10.1038/s41598-022-19446-4

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