Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates

OBJECTIVES: We aimed to evaluate the ability of feed-forward neural networks (fNNs) to predict the neurodevelopmental outcome (NDO) of very preterm neonates (VPIs) at 12 months corrected age by using biomarkers of cerebral MR proton spectroscopy ((1)H-MRS) and diffusion tensor imaging (DTI) at term-...

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Detalles Bibliográficos
Autores principales: Janjic, T., Pereverzyev, S., Hammerl, M., Neubauer, V., Lerchner, H., Wallner, V., Steiger, R., Kiechl-Kohlendorfer, U., Zimmermann, M., Buchheim, A., Grams, A. E., Gizewski, E. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Neuro
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599175/
https://www.ncbi.nlm.nih.gov/pubmed/32683551
http://dx.doi.org/10.1007/s00330-020-07053-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599175/
https://www.ncbi.nlm.nih.gov/pubmed/32683551
http://dx.doi.org/10.1007/s00330-020-07053-8

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