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Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk
IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these trajectories are associated with future psychosis is unclear. OBJECTIVE: To investigate distinct neuroanatomical m...
Tallennettuna:
| Julkaisussa: | JAMA Psychiatry |
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| Päätekijät: | , , , , , , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
American Medical Association
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6142910/ https://ncbi.nlm.nih.gov/pubmed/29971330 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamapsychiatry.2018.1543 |
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