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Autism classified by magnetic resonance imaging: A pilot study of a potential diagnostic tool.

Darko SarovicNouchine HadjikhaniJustin F SchneidermanSebastian LundströmChristopher Gillberg
Published in: International journal of methods in psychiatric research (2020)
These results are on par with studies on autism using machine learning. The main contributions are its transparency and simplicity. The possibility of including additional neuroimaging data further increases the potential of the classifier as a diagnostic aid for neuropsychiatric disorders, as well as a research tool for neuroscientific investigations.
Keyphrases
  • magnetic resonance imaging
  • autism spectrum disorder
  • intellectual disability
  • computed tomography
  • big data
  • machine learning
  • climate change