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

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

Abstract 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 receivin...

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Bibliographic Details
Main Authors: Kirsty Milligan, Xinchen Deng, Ramie Ali-Adeeb, Phillip Shreeves, Samantha Punch, Nathalie Costie, Juanita M. Crook, Alexandre G. Brolo, Julian J. Lum, Jeffrey L. Andrews, Andrew Jirasek
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-19446-4

Internet

https://doi.org/10.1038/s41598-022-19446-4

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