Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction.
<h4>Objective</h4>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 I...
Main Authors: | Ray Oliver Bahado-Singh, Ali Yilmaz, Halil Bisgin, Onur Turkoglu, Praveen Kumar, Eric Sherman, Andrew Mrazik, Anthony Odibo, Stewart F Graham |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0214121 |
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