Leis Machín, Angela 1974-Mortier, PhilippeAmigo, FrancoConde, SusanaFerrer Forés, Maria MontserratLatorre Moreno, LauraMayer, Miguel Ángel, 1960-Pérez Solá, VictorPortillo-Van Diest, AnaRamírez Anguita, Juan ManuelSanz, FerranVilagut Saiz, Gemma, 1975-Alonso Caballero, JordiPastor Maeso, ManuelQin, Ping2025-06-102025-06-102025Leis 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/SHTI2503080926-9630http://hdl.handle.net/10230/70644The 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.application/pdfeng© 2025 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). http://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/articlehttp://dx.doi.org/10.3233/SHTI250308SuicideClinical support systemMachine learningSelf-harminfo:eu-repo/semantics/openAccess