Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD

To identify newborns at risk of developing ASD and to detect ASD biomarkers early after birth, we compared retrospectively ultrasound and biological measurements of babies diagnosed later with ASD or neurotypical (NT) that are collected routinely during pregnancy and birth. We used a supervised mach...

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Detalles Bibliográficos
Autores principales: Caly, Hugues, Rabiei, Hamed, Coste-Mazeau, Perrine, Hantz, Sebastien, Alain, Sophie, Eyraud, Jean-Luc, Chianea, Thierry, Caly, Catherine, Makowski, David, Hadjikhani, Nouchine, Lemonnier, Eric, Ben-Ari, Yehezkel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994821/
https://www.ncbi.nlm.nih.gov/pubmed/33767300
http://dx.doi.org/10.1038/s41598-021-86320-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994821/
https://www.ncbi.nlm.nih.gov/pubmed/33767300
http://dx.doi.org/10.1038/s41598-021-86320-0

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