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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Detalles Bibliográficos
Autores principales: Frazier, Thomas W., Youngstrom, Eric A., Fristad, Mary A., Demeter, Christine, Birmaher, Boris, Kowatch, Robert A., Arnold, L. Eugene, Axelson, David, Gill, Mary K., Horwitz, Sarah M., Findling, Robert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136460/
https://www.ncbi.nlm.nih.gov/pubmed/25143826
http://dx.doi.org/10.3390/jcm3010218

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136460/
https://www.ncbi.nlm.nih.gov/pubmed/25143826
http://dx.doi.org/10.3390/jcm3010218

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