An Integrative Approach for Subtyping Mental Disorders Using Multi-modality Data

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…

via https://pubmed.ncbi.nlm.nih.gov/40492098/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1lqZ3NPYysePVKsoyz66mDSgu4veDGJwnUBS47TBQPoOuNZY5J&fc=None&ff=20250625011006&v=2.18.0.post9+e462414