Mental disorders exhibit significant heterogeneity, posing challenges for accurate subtyping and diagnosis. Traditional clustering methods do not integrate multi-modal data, limiting their clinical applicability. This study introduces the Mixed INtegrative Data Subtyping (MINDS) method, a Bayesian hierarchical joint model designed to identify subtypes of Attention-Deficit/Hyperactivity Disorder (ADHD) and Obsessive-Compulsive Disorder (OCD) in adolescents using multi-modality data from the…