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. 2024 May 10;19(5):e0299048.
doi: 10.1371/journal.pone.0299048. eCollection 2024.

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

Gabriele P De Luca  1 , Neelang Parghi  2 , Rawad El Hayek  3   4 , Sarah Bloch-Elkouby  3   4 , Devon Peterkin  3   4 , Amber Wolfe  3   4 , Megan L Rogers  5 , Igor Galynker  3   4
Affiliations

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

Gabriele P De Luca et al. PLoS One. .

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.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Column graph depicting the overlap in SCS criteria between the SCI-SF and the SI-P and SI results.
Note. The prevalence of SCS criteria (y-axis) was measured as the percentage of items in each scale/ranking belonging to a particular criterion. A: Entrapment, B1: Affective Disturbance, B2: Loss of Cognitive Control, B3: Hyperarousal, B4: Social Withdrawal.
See this image and copyright information in PMC

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