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Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy
BACKGROUND: Early diagnosis of schizophrenia could improve the outcome of the illness. Unlike classical between-group comparisons, machine learning can identify subtle disease patterns on a single subject level, which could help realize the potential of MRI in establishing a psychiatric diagnosis. M...
Uloženo v:
| Vydáno v: | BMC Psychiatry |
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| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5891928/ https://ncbi.nlm.nih.gov/pubmed/29636016 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12888-018-1678-y |
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