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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Vydáno v:PLoS One
Hlavní autoři: Bahado-Singh, Ray Oliver, Yilmaz, Ali, Bisgin, Halil, Turkoglu, Onur, Kumar, Praveen, Sherman, Eric, Mrazik, Andrew, Odibo, Anthony, Graham, Stewart F.
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2019
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Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6472728/
https://ncbi.nlm.nih.gov/pubmed/30998683
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214121
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