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Updated: Jul 31, 2025
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Published on: May 19, 2015
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Exploring Risk Factors in Suicidal Ideation and Attempt Concept Cooccurrence Networks
K J Krause1, John Shelley1, Alex Becker1
1Vanderbilt University Medical Center, Nashville, TN, Department of Biomedical Informatics.
Summary
Network analysis visualizes suicide risk factors, revealing how they interact. This approach offers new insights into suicide prevention by understanding complex relationships beyond independent morbidities.
Area of Science:
- Public Health
- Mental Health Research
- Computational Psychiatry
Background:
- Suicide is a critical public health issue, with a 30% increase in US deaths over 10 years.
- Traditional risk factor analyses often treat factors independently, potentially missing complex interactions.
Purpose of the Study:
- To explore the interactions between suicide risk factors using network analysis.
- To visualize the relationships between suicidal ideation and suicide attempt risk factors.
Main Methods:
- Utilized network analysis to create visual risk relationship diagrams.
- Extracted medical concepts from clinical notes to build co-occurrence-based risk networks.
- Generated networks for suicidal ideation, suicide attempt, and the progression from ideation to attempt.
Main Results:
- Successfully replicated existing suicide risk factor findings.
- Provided novel insights into how risk factors function as independent morbidities versus interacting comorbidities.
- Demonstrated the utility of network analysis in understanding complex, multifactorial outcomes.
Conclusions:
- Network analysis is a valuable tool for understanding the interplay of suicide risk factors.
- This methodology can enhance clinical screening, intervention, and prevention strategies for suicide.
- Future research can leverage network analysis for complex health outcomes.
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