A benchmark study of data normalisation methods for PTR-TOF-MS exhaled breath metabolomics.

Camille RoquencourtElodie LamyEmmanuelle BardinPhilippe Devillier Stanislas Grassin-Delyle

Published in: Journal of breath research (2023)

Our results highlight the importance of adding an appropriate normalisation step during the processing of PTR-MS data, which allows significant improvements in the predictive performance of statistical models.Clinical trials: VOC-COVID-Diag (EudraCT 2020-A02682-37); RECORDS trial (EudraCT 2020-000296-21)Keywords: Data normalisation, PTR-TOF-MS, machine learning, exhaled breath&#xD.

Keyphrases

clinical trial
big data
machine learning
electronic health record
mass spectrometry
coronavirus disease
artificial intelligence
multiple sclerosis
phase ii
phase iii
study protocol
randomized controlled trial
deep learning