SYMPOSIUM| Volume 87, ISSUE 9, SUPPLEMENT , S37, May 01, 2020

Multimodal Fusion Signature as Transdiagnostic Psychiatric Biomarker

      The use of multi-task multi-modal data can be challenging, but it is well known that leveraging the complementary information can provide increase sensitivity. In this work we present an approach to extract guided multimodal signatures using a multivariate data fusion approach and show in both longitudinal and independent data that the resulting signatures are predictive of substance use, ADHD, major depression, and schizophrenia.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'


      Subscribe to Biological Psychiatry
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect