Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition.

Our results suggest that parenting and attachment-related variables bear significant classification power when applied to both PSY and its early stages and are associated with variability in emotion processing. These variables could therefore be useful in psychosis early recognition programs aimed at softening the psychosis-associated disability.