Zhuoyu Shi

Data diversity vs. model complexity in the prediction of pediatric bipolar disorder: Evidence from academic and community clinical samples.

Predictive models for pediatric bipolar disorder showed strong internal performance but limited cross-setting generalizability due to dataset shift and miscalibration, and training on pooled data improved performance on held-out samples from the heterogeneous pooled cohort.