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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...
Autores principales: | Bahado-Singh, Ray Oliver, Yilmaz, Ali, Bisgin, Halil, Turkoglu, Onur, Kumar, Praveen, Sherman, Eric, Mrazik, Andrew, Odibo, Anthony, Graham, Stewart F. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
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 |
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