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ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously difficult to diagnose, especially in children. The current psychiatric diagnostic process is based purely on the behavioral observation of symptomology (DSM-5/ICD-10) and may be prone to misdiagnosis. In order to m...
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| Vydáno v: | Front Neuroinform |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Frontiers Media S.A.
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6890833/ https://ncbi.nlm.nih.gov/pubmed/31827430 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2019.00070 |
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