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Advancing computational psychiatry through a social lens

Nature Mental Health volume 2, pages 1268–1270 (2024)Cite this article

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Social factors have an outsized role in the progression and treatment of psychiatric conditions, but existing computational models often neglect social context. We propose that integrating social features into computational frameworks will shed light into the complexity of mental health, and provide guidelines for model design.

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Fig. 1: Guidelines and considerations when modeling social features rooted in mental health and disorder.

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Authors and Affiliations

  1. Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA

    Shawn A. Rhoads & Xiaosi Gu

  2. Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA

    Shawn A. Rhoads & Xiaosi Gu

  3. Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, USA

    Shawn A. Rhoads & Xiaosi Gu

  4. Department of Psychology, Royal Holloway, University of London, London, UK

    Joseph M. Barnby

  5. Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK

    Joseph M. Barnby

  6. School of Psychiatry and Clinical Neuroscience, University of Western Australia, Perth, Western Australia, Australia

    Joseph M. Barnby

Authors
  1. Shawn A. Rhoads
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  2. Xiaosi Gu
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  3. Joseph M. Barnby
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Corresponding author

Correspondence to Shawn A. Rhoads.

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The authors declare no competing interests.

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Nature Mental Health thanks Marco Venniro and the other, anonymous reviewer(s) for their contribution to the peer review of this work.

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Rhoads, S.A., Gu, X. & Barnby, J.M. Advancing computational psychiatry through a social lens. Nat. Mental Health 2, 1268–1270 (2024). https://doi.org/10.1038/s44220-024-00343-w

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