SUPERVISED MACHINE LEARNING CLASSIFICATION OF PSYCHOSIS BIOTYPES BASED ON BRAIN STRUCTURE: FINDINGS FROM THE BIPOLAR-SCHIZOPHRENIA NETWORK FOR INTERMEDIATE PHENOTYPES (B-SNIP)

Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)

Abstract Traditional diagnostic formulations of psychotic disorders have low correspondence with underlying disease neurobiology.This has led to a growing interest in using brain-based biomarkers to capture biologically-informed psychosis constructs.Building upon our prior work on the B-SNIP Psychosis Biotypes, we aimed to examine whether structura

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