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Improving Clinical Prediction of Bipolar Spectrum Disorders in Youth
This report evaluates whether classification tree algorithms (CTA) may improve the identification of individuals at risk for bipolar spectrum disorders (BPSD). Analyses used the Longitudinal Assessment of Manic Symptoms (LAMS) cohort (629 youth, 148 with BPSD and 481 without BPSD). Parent ratings of...
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| Hauptverfasser: | , , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4136460/ https://ncbi.nlm.nih.gov/pubmed/25143826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm3010218 |
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