An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes

MOTIVATION: The measurement of disease biomarkers in easily–obtained bodily fluids has opened the door to a new type of non–invasive medical diagnostics. New technologies are being developed and fine–tuned in order to make this possibility a reality. One such technology is Field Asymmetric Ion Mobil...

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Detalles Bibliográficos
Autores principales: Martinez-Vernon, Andrea S., Covington, James A., Arasaradnam, Ramesh P., Esfahani, Siavash, O’Connell, Nicola, Kyrou, Ioannis, Savage, Richard S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160042/
https://www.ncbi.nlm.nih.gov/pubmed/30261000
http://dx.doi.org/10.1371/journal.pone.0204425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160042/
https://www.ncbi.nlm.nih.gov/pubmed/30261000
http://dx.doi.org/10.1371/journal.pone.0204425

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