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Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form

Author

Listed:
  • Gabriele P De Luca
  • Neelang Parghi
  • Rawad El Hayek
  • Sarah Bloch-Elkouby
  • Devon Peterkin
  • Amber Wolfe
  • Megan L Rogers
  • Igor Galynker

Abstract

The Suicide Crisis Syndrome (SCS) describes a suicidal mental state marked by entrapment, affective disturbance, loss of cognitive control, hyperarousal, and social withdrawal that has predictive capacity for near-term suicidal behavior. The Suicide Crisis Inventory-2 (SCI-2), a reliable clinical tool that assesses SCS, lacks a short form for use in clinical settings which we sought to address with statistical analysis. To address this need, a community sample of 10,357 participants responded to an anonymous survey after which predictive performance for suicidal ideation (SI) and SI with preparatory behavior (SI-P) was measured using logistic regression, random forest, and gradient boosting algorithms. Four-fold cross-validation was used to split the dataset in 1,000 iterations. We compared rankings to the SCI–Short Form to inform the short form of the SCI-2. Logistic regression performed best in every analysis. The SI results were used to build the SCI-2-Short Form (SCI-2-SF) utilizing the two top ranking items from each SCS criterion. SHAP analysis of the SCI-2 resulted in meaningful rankings of its items. The SCI-2-SF, derived from these rankings, will be tested for predictive validity and utility in future studies.

Suggested Citation

  • Gabriele P De Luca & Neelang Parghi & Rawad El Hayek & Sarah Bloch-Elkouby & Devon Peterkin & Amber Wolfe & Megan L Rogers & Igor Galynker, 2024. "Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-15, May.
    • Handle: RePEc:plo:pone00:0299048
    DOI: 10.1371/journal.pone.0299048
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    References listed on IDEAS

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    1. Allison Milner & Andrew Page & Anthony D LaMontagne, 2013. "Long-Term Unemployment and Suicide: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-6, January.
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