Additional file 1 of Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition

Antonucci, Linda A.; Raio, Alessandra; Pergola, Giulio; Gelao, Barbara; Papalino, Marco; Rampino, Antonio; Andriola, Ileana; Blasi, Giuseppe; Bertolino, Alessandro

doi:10.6084/m9.figshare.14302857.v1

40359_2021_552_MOESM1_ESM.docx (213.96 kB)

Additional file 1 of Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition

journal contribution

posted on 2021-03-25, 08:39 authored by Linda A. Antonucci, Alessandra Raio, Giulio Pergola, Barbara Gelao, Marco Papalino, Antonio Rampino, Ileana Andriola, Giuseppe Blasi, Alessandro Bertolino

Additional file 1. Antonucci LA, et al. – Supplementary Information.

Funding

Apulia Region funding “Early identification of psychiatric risk: a longitudinal study on endophenotypes involved in the psychosis and bipolar disorder risk” Structural European Funding of the Italian Minister of Education and Research (Attraction and International Mobility – AIM - action, grant agreement No 1859959)

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Parental care Parental overprotection Adult attachment style Machine learning Schizophrenia Bipolar disorder Risk for psychosis

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CC BY + CC0

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Additional file 1 of Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition

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