Data diversity vs. model complexity in the prediction of pediatric bipolar disorder: Evidence from academic and community clinical samples.
Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More standardized and data-driven approaches are needed to enhance diagnostic reliability. We evaluated a clinical decision tool (nomogram), statistical methods (logistic regression, LASSO), machine learning (support vector m...