Machine learning based identification of structural brain alterations underlying suicide risk in adolescents
Abstract Suicide is the third leading cause of death for individuals between 15 and 19 years of age. The high suicide mortality rate and limited prior success in identifying neuroimaging biomarkers indicate that it is crucial to improve the accuracy of clinical neural signatures underlying suicide r...
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| Główni autorzy: | , , , , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer
2023-02-01
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| Seria: | Discover Mental Health |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/s44192-023-00033-6 |
| Etykiety: |
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