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The use of component-wise gradient boosting to assess the possible role of cognitive measures as markers of vulnerability to pediatric bipolar disorder
BACKGROUND AND AIMS: Cognitive impairments are one of the primary hallmarks symptoms of bipolar disorder (BD). Whether these deficits are markers of vulnerability or symptoms of the disease is still an open debate. This study used a component-wise gradient (CGB) machine learning algorithm to identif...
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| Pubblicato in: | Cogn Neuropsychiatry |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6675623/ https://ncbi.nlm.nih.gov/pubmed/30774035 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/13546805.2019.1580190 |
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