Improving Clinical Prediction of Bipolar Spectrum Disorders in Youth

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 o...

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Bibliographic Details
Main Authors: Thomas W. Frazier, Eric A. Youngstrom, Mary A. Fristad, Christine Demeter, Boris Birmaher, Robert A. Kowatch, L. Eugene Arnold, David Axelson, Mary K. Gill, Sarah M. Horwitz, Robert L. Findling
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Journal of Clinical Medicine
Subjects:
bipolar disorder
children
risk factors
clinical decision making
classification tree analysis
Online Access:http://www.mdpi.com/2077-0383/3/1/218

Internet

http://www.mdpi.com/2077-0383/3/1/218

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