Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction

OBJECTIVE: To interrogate the pathogenesis of intrauterine growth restriction (IUGR) and apply Artificial Intelligence (AI) techniques to multi-platform i.e. nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) based metabolomic analysis for the prediction of IUGR. MATERIALS AND...

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Detalles Bibliográficos
Autores principales: Bahado-Singh, Ray Oliver, Yilmaz, Ali, Bisgin, Halil, Turkoglu, Onur, Kumar, Praveen, Sherman, Eric, Mrazik, Andrew, Odibo, Anthony, Graham, Stewart F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472728/
https://www.ncbi.nlm.nih.gov/pubmed/30998683
http://dx.doi.org/10.1371/journal.pone.0214121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472728/
https://www.ncbi.nlm.nih.gov/pubmed/30998683
http://dx.doi.org/10.1371/journal.pone.0214121

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