A Machine-Learned Predictor of Colonic Polyps Based on Urinary Metabolomics

We report an automated diagnostic test that uses the NMR spectrum of a single spot urine sample to accurately distinguish patients who require a colonoscopy from those who do not. Moreover, our approach can be adjusted to tradeoff between sensitivity and specificity. We developed our system using a...

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Detalles Bibliográficos
Autores principales: Eisner, Roman, Greiner, Russell, Tso, Victor, Wang, Haili, Fedorak, Richard N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3838851/
https://www.ncbi.nlm.nih.gov/pubmed/24307992
http://dx.doi.org/10.1155/2013/303982

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3838851/
https://www.ncbi.nlm.nih.gov/pubmed/24307992
http://dx.doi.org/10.1155/2013/303982

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