Machine learning-based clinical decision support system for suicide risk management: The PERMANENS project

Leis Machín, Angela 1974-; Mortier, Philippe; Amigo, Franco; Conde, Susana; Ferrer Forés, Maria Montserrat; Latorre Moreno, Laura; Mayer, Miguel Ángel, 1960-; Pérez Solà, Víctor; Portillo-Van Diest, Ana; Ramírez Anguita, Juan Manuel; Sanz, Ferran; Vilagut Saiz, Gemma, 1975-; Alonso Caballero, Jordi; Pastor Maeso, Manuel; Qin, Ping

doi:http://dx.doi.org/10.3233/SHTI250308

Machine learning-based clinical decision support system for suicide risk management: The PERMANENS project

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Leis A, Mortier P, Amigo F, Bhargav M, Conde S, Ferrer M, et al. Machine learning-based clinical decision support system for suicide risk management: The PERMANENS project. Stud Health Technol Inform. 2025 May 15;327:221-2. DOI: 10.3233/SHTI250308

Abstract

The PERMANENS European project addresses the global public health challenge of self-harm and suicide by developing a machine learning-based Clinical Decision Support System (CDSS) to assist emergency departments (EDs) in providing personalized care. With over 700,000 suicides annually, suicide prevention is critical, especially in Europe where consistent surveillance is lacking. The project harmonizes national suicide attempt registries from regions in Spain, Ireland, Norway, and Sweden using the OMOP Common Data Model (CDM) to create a comprehensive database for real-time analysis.